BIPro | 26 articles | Packt Newsletter Hub

05 Mar 2025

Metabase Embedded Analytics SDK, Tally Tables in the Fabric Warehouse, RisingWave Data Stream Processing, OpenAI Database Query Service

05 Mar 2025

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766

Merlyn From Packt

18 Feb 2025

Hydrolix’s new Apache Spark Connector, Load XML into MongoDB using SmartXML ETL, Connect Azure Data Lake Storage (ADLS) Gen2 to Microsoft Fabric

Merlyn From Packt

18 Feb 2025

Amazon SageMaker Unified Studio, BULK INSERT in Fabric Data WarehouseYour Voice Matters – Help Improve Data Science Learning! (+ Get a Free eBook!)Help us enhance Data Science learning with your insights!Take a5-8 min surveyand get:✅ Afree Packt eBook($18 value)✅ Influence future books & courses✅ Early access to new features & perks!👉Take the Survey Now!🗞️Welcome to BIPro#91 – Your Weekly Business Intelligence Boost! 🚀This week, we're diving into cutting-edge developments in data analytics, engineering, and BI.🔹 New & Noteworthy: Hydrolix’s Apache Spark Connector supercharges Databricks with full-fidelity event data, while SmartXML ETL makes loading XML into MongoDB seamless. Plus, we break down how to securely connect Azure Data Lake Storage (ADLS) Gen2 to Microsoft Fabric using OneLake Shortcuts.🔹 Sneak Peek: We preview Amazon SageMaker Unified Studio, a game-changer for unified ML workflows, and explore BULK INSERT in Fabric Data Warehouse, optimizing large-scale data ingestion.🔹 BI Must-Reads: Deepen your expertise with these top books:📘 Microsoft Power BI Cookbook – Master Power BI with advanced techniques for data integration, governance, and visualization.📘 Modern Time Series Forecasting with Python – Explore ML, deep learning, and probabilistic forecasting for time-series data.📘 Deep Reinforcement Learning Hands-On – Dive into Q-learning, DQNs, and RLHF with hands-on projects using PyTorch.📘 Polars Cookbook – Unlock high-performance data manipulation with 60+ real-world projects in Python Polars.📘 Python Feature Engineering Cookbook – Build production-ready pipelines for tabular, transactional, and time-series data.📘 Data Management Strategy at Microsoft – Learn how Microsoft transformed its data strategy for governance, security, and business impact.🔹 Hot Topics: Parallelizing NumPy, scaling Sklearn with Dask, and uncovering hidden Python libraries to supercharge your data workflows.Stay ahead of the curve with the latest innovations, expert insights, and hands-on tutorials. Let’s dive in!Cheers,Merlyn ShelleyGrowth Lead, Packt📚 Packt Signature Series: New Releases You Can't Miss❯❯❯❯ Microsoft Power BI Cookbook: Written by Greg Deckler and Brett Powell, Microsoft Power BI Cookbook (3rd Edition) is a detailed guide for data professionals, covering data integration, Hybrid tables, scorecards, real-time processing, governance, security, and advanced visualization. With step-by-step techniques, it helps you transform raw data into actionable insights using Power BI’s latest innovations.Buy eBook $43.99 $29.99❯❯❯❯Modern Time Series Forecasting with Python: Written by Manu Joseph and Jeffrey Tackes, Modern Time Series Forecasting with Python (2nd Edition) is a detailed guide for data professionals, covering machine learning, deep learning, transformers, probabilistic forecasting, feature engineering, and ensemble methods. With hands-on techniques, it helps you build, evaluate, and deploy advanced forecasting models using Python, PyTorch, and pandas.Buy eBook $46.99 $31.99❯❯❯❯ Deep Reinforcement Learning Hands-On: Written by Maxim Lapan, Deep Reinforcement Learning Hands-On (3rd Edition) is a detailed guide to mastering RL, covering Q-learning, DQNs, PPO, RLHF, MuZero, and transformers. With hands-on projects, it helps machine learning professionals build, train, and apply RL models using PyTorch for real-world tasks in gaming, finance, and beyond.Buy eBook $46.99 $31.99❯❯❯❯ Polars Cookbook: Written by Yuki Kakegawa, Polars Cookbook is a hands-on guide featuring 60+ real-world projects to master data manipulation, transformation, and analysis with Python Polars. Covering advanced querying, performance optimization, and integrations with pandas, PyArrow, and cloud platforms, this book helps data professionals build fast, scalable, and efficient workflows.Buy eBook $46.99 $31.99❯❯❯❯ Python Feature Engineering Cookbook: Written by Galli, Python Feature Engineering Cookbook (3rd Edition) is a practical guide featuring real-world techniques to craft powerful features for tabular, transactional, and time-series data. Covering imputation, encoding, transformation, feature extraction, and automation, this book helps data professionals build efficient, reproducible, and production-ready feature engineering pipelines.Buy eBook $35.99 $24.99❯❯❯❯ Data Management Strategy at Microsoft: Written by Aleksejs Plotnikovs, Data Management Strategy at Microsoft is a practical guide to building a data-driven culture and maximizing data’s business value. Covering data strategy, governance, change management, and intellectual property, it provides key insights from Microsoft’s decade-long transformation to help leaders drive impactful data initiatives.Buy eBook $31.99 $21.99📊 Data Viz Trends Shaping the Future of Insights❯❯❯❯ Parallelize NumPy Array Operations for Increased Speed: This blog explores techniques to parallelize NumPy array operations for faster processing, crucial for handling large datasets. It covers OpenMP, NumExpr, Joblib, and Dask, comparing their performance and efficiency. With practical examples, it helps Python users optimize computations and improve data processing speed in machine learning and analytics workflows.❯❯❯❯ How to Scale Sklearn with Dask: This blog explores how Dask scales Scikit-learn (sklearn) workflows using parallel and distributed computing. It covers data preprocessing, train-test splitting, and model training with Dask’s StandardScaler, train_test_split, and LogisticRegression, demonstrating how to handle large datasets efficiently while maintaining sklearn’s familiar workflow for machine learning practitioners.❯❯❯❯ 10 Little-Known Python Libraries That Will Make You Feel Like a Data Wizard: This blog introduces 10 lesser-known Python libraries that can enhance data science workflows. Covering tools for data visualization, feature engineering, text processing, ML automation, and scalable computing, it provides practical examples of how these libraries can streamline analysis, improve efficiency, and unlock new possibilities for data professionals.❯❯❯❯ Using AI to focus on the big picture: This blog explores how Fanatics Betting and Gaming leverages AI to enhance financial operations, featuring insights from CFO Andrea Ellis. It covers AI-driven automation, strategic finance, and decision-making improvements, highlighting how tools like ChatGPT streamline workflows, generate insights faster, and free up time for high-impact strategic work.❯❯❯❯ Rogo scales AI-driven financial research with OpenAI o1: This blog explores how Rogo leverages OpenAI’s models to transform financial research and analysis for investment banks and private equity firms. By fine-tuning GPT-4o and o1 models, Rogo delivers real-time insights, automated diligence, and collaborative workflows, saving analysts time and enabling data-driven decision-making at scale.📈 Dive into Databases: SQL Essentials❯❯❯❯ Understanding Bit Manipulation Functions: BIT_COUNT, GET_BIT, and SET_BIT in SQL Server 2022. This blog explores SQL Server 2022’s bit manipulation functions—BIT_COUNT, GET_BIT, and SET_BIT—for efficient binary data handling. It covers counting set bits, retrieving specific bit values, and modifying flags, with practical examples and common pitfalls, helping developers optimize storage, manage flags, and improve performance in complex systems.❯❯❯❯ How to Develop Solutions with Fabric Data Warehouse: Data Engineering with Fabric. This blog explores developing solutions with Microsoft Fabric Data Warehouse, covering schema creation, data ingestion, and aggregation using T-SQL notebooks and deployment pipelines. It highlights best practices for data engineering, version control, and CI/CD automation, helping teams streamline database development and management in a Fabric environment.❯❯❯❯ Using Group Managed Service Accounts with SQL Server: This blog explores how to use Group Managed Service Accounts (gMSA) with SQL Server, covering setup, prerequisites, and implementation for Failover Cluster Instances and Always On Availability Groups. It provides PowerShell commands and best practices for secure authentication, automated password management, and enhanced service account control in enterprise environments.❯❯❯❯ Implementing Vector Datatype with Azure SQL Server: This blog explores implementing a vector database in Azure SQL Server using the new VECTOR data type (preview). It demonstrates storing and querying embeddings with SentenceTransformer, enabling efficient semantic search for unstructured text. Ideal for applications like document retrieval and knowledge management, this guide provides a step-by-step implementation with Python and SQL.❯❯❯❯ Redis as a Primary Database for Complex Applications: This blog explores using Redis as a primary database for complex applications that require multiple data formats, high performance, and scalability. It covers Redis modules for structured, graph, and search data, persistence methods, cost optimization with Redis on Flash, and scaling through replication and sharding, making it a powerful alternative to traditional databases.🔄 Real-World Transformation: How Gen BI Made Data Work❯❯❯❯ Hydrolix's Apache Spark Connector Unlocks the Power of Databricks for Full-Fidelity Event Data: This blog explores Hydrolix’s new Apache Spark Connector, which enhances Databricks' capabilities for full-fidelity event data. It enables low-latency queries, cost-effective long-term storage, and real-time insights for machine learning, fraud detection, capacity planning, and anomaly detection, unlocking powerful analytics and BI workflows in Databricks.❯❯❯❯ Build a Data Analytics Platform With Flask, SQL, and Redis: This blog explores building a data analytics platform using Flask, SQL Server, and Redis, focusing on dynamic querying, caching, and scalable architecture. It demonstrates population data analysis, query optimization with Redis caching, and secure database connections, significantly improving performance and response times in Flask-based web applications.❯❯❯❯ How to Backup SQL Server RDS to an S3 Bucket: This blog explores backing up SQL Server RDS to Amazon S3, using the msdb.dbo.rds_backup_database command. It covers full and differential backups, compression settings, encryption with AWS KMS, and task monitoring, providing a step-by-step guide to securely store and restore SQL Server RDS backups for disaster recovery and data availability.❯❯❯❯ BULK INSERT in Fabric Data Warehouse (Preview): This blog explores the BULK INSERT statement in Fabric Data Warehouse (Preview), enabling fast and efficient CSV file imports from Azure Data Lake and Blob Storage. It covers performance benchmarks, SQL Server compatibility, and differences from COPY INTO, making it an ideal choice for migrating existing workloads and handling large-scale data ingestion.❯❯❯❯ Fabric OPENROWSET function (Preview): This blog explores the OPENROWSET function in Fabric Data Warehouse (Preview), enabling direct querying of external files in Azure Data Lake and Blob Storage without ingestion. It covers schema discovery, partitioned dataset querying, query-time transformations, and ingestion scenarios, making it a powerful tool for real-time data exploration and flexible data processing.⚡ Quick Wins: BI Hacks for Instant Impact❯❯❯❯ Optimizing Database Performance in Middleware Applications: This blog explores strategies to optimize database performance in middleware applications, covering parallelism, caching, write batching, request hedging, and connection pooling. These techniques help reduce latency, improve scalability, and enhance system efficiency, ensuring that middleware can handle high traffic, real-time processing, and complex data aggregation effectively.❯❯❯❯ Unlocking Local AI: Build RAG Apps Without Cloud or API Keys. This tutorial covers how to build a local retrieval-augmented generation (RAG) application using Chipper, an open-source framework that eliminates cloud dependencies and API keys. It walks through setting up a self-contained RAG system with document ingestion, vector embedding storage, retrieval mechanisms, and local LLM integration via Ollama. The guide includes step-by-step instructions on installation, indexing documents, querying data, and running Chipper as an AI assistant, providing a private and efficient AI-powered workflow.❯❯❯❯ Git Tags vs AWS Tags: A Tag-Tastic Showdown! This article humorously compares Git Tags and AWS Tags, highlighting their differences in purpose, usage, and consequences when ignored. Git Tags serve as historical markers for software versions, making debugging and releases easier, while AWS Tags help organize cloud resources, track costs, and prevent accidental deletions. The showdown covers real-world reactions, best practices, advanced tagging techniques, and the existential crisis of tagging. Whether managing code history or cloud expenses, proper tagging can prevent future confusion and chaos.❯❯❯❯ Loading XML into MongoDB: This guide shows how to load XML into MongoDB using SmartXML ETL, avoiding complex parsing scripts. It covers defining extraction rules, optimizing stored data, and setting up a Flask API for insertion. SmartXML automates ETL, transforming XML into structured JSON for efficient MongoDB storage.❯❯❯❯ Advanced Calendar Heat Maps in Tableau (No More Workarounds!) This tutorial teaches you how to create advanced calendar heat maps in Tableau using map layers for a dynamic, clean, and customizable design. It covers common pitfalls, step-by-step instructions, and interactive dashboards, helping you build better visualizations without traditional limitations or workarounds.🎤 Voices of BI: Lessons from Industry Experts❯❯❯❯ Foundational blocks of Amazon SageMaker Unified Studio: An admin’s guide to implement unified access to all your data, analytics, and AI: This guide explains how to implement Amazon SageMaker Unified Studio for unified access to data, analytics, and AI. It covers the foundational building blocks, admin roles, infrastructure deployment, access control, and project management, helping administrators set up and manage a governed machine-learning environment effectively.❯❯❯❯ How Wisso embedded analytics in modern applications and cut BI costs by 80% with Amazon QuickSight: This post explores how Wisso integrated Amazon QuickSight into a kitchen management application, cutting BI costs by 80% while enhancing scalability and user experience. It details the migration process, architecture, dashboard functionality, and business impact, improving food safety, waste tracking, and operational efficiency.❯❯❯❯ How can I decide which protection method to use to protect my sensitive data in Fabric? This guide compares Microsoft Purview Protection Policies and Data Loss Prevention (DLP) policies for securing sensitive data in Fabric. It explains when to use each, how they restrict access, and how they can be combined to enforce security while ensuring compliance across your organization.❯❯❯❯ Private ADLS Gen2 access made easy with OneLake Shortcuts: a step-by-step guide. This guide explains how to securely connect Azure Data Lake Storage (ADLS) Gen2 to Microsoft Fabric using OneLake Shortcuts and Trusted Workspace Access. It provides a step-by-step walkthrough to configure private access, reduce data duplication, and enhance Power BI performance with Direct Lake mode.❯❯❯❯ Govern your data in SQL database in Microsoft Fabric with protection policies in Microsoft Purview: This guide explains how Microsoft Purview’s protection policies enhance data security in Microsoft Fabric SQL databases. It details how these policies override user permissions based on sensitivity labels, restricting access and write capabilities while ensuring compliance with organizational governance and security requirements.We’ve got more great things coming your way, see you soon!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{font-size:75%;line-height:0} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}}

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956

Merlyn From Packt

11 Feb 2025

Key Vault Services in Azure Ecosystem, Memorystore Cluster Autoscaler now on GitHub, Spring Data Neo4j

Merlyn From Packt

11 Feb 2025

Threads in OpenAI Assistants API, SQL Dynamic Data Masking for Privacy and Compliance🌟Share, Shape, & Claim Your Free Packt Credit!📚 We're looking for data professionals to join a quick30-minute chatabout their learning needs. Thefirst 25 respondentsin a data-specific role will have the opportunity to speak with our team, share their insights, and receive afree Packt creditto claim any eBook of their choice! Hurry –submit your interest nowand keep an eye out for our team's meeting invite. You could be one of the chosen ones!👉 Reserve Your Interview SlotFortified’s Central Command Platform Named “Healthcare Cybersecurity Solution of the Year”Fortified Health Security’s Central Command platform has been named Healthcare Cybersecurity Solution of the Year by CyberSecurity Breakthrough. This unified platform streamlines risk tracking, threat monitoring, and real-time incident response, enhancing efficiency and patient protection. Learn more and see it in action today!Book a Demo Now!Sponsored🗞️Welcome to BIPro#90 – Your Weekly Business Intelligence Boost! 🚀Another week, another round of exciting updates in the world of data and BI! This time, we’re exploring SQL Database Project in Azure Data Studio, handling high-volume data in Azure Synapse, and unlocking the power of Key Vault services in Azure.We’ve also got some cool insights on Memorystore Cluster Autoscaler now on GitHub, Threads in OpenAI Assistants API, and how SQL Dynamic Data Masking helps with privacy and compliance. And if you're into Spring Data Neo4j, we've got something for you too!Plus, check out the latest BI book releases and top highlights to keep you ahead in this data-driven world. Let’s get into it! 👇📚 New Releases You Can't Miss:✦ Causal Inference in R✦ Python Feature Engineering Cookbook✦ Quantum Machine Learning and Optimisation in FinanceDive in and let this week’s insights supercharge your BI journey! 🚀Cheers,Merlyn ShelleyGrowth Lead, PacktDetect shadow AI hidden in the apps you build or useCISOs face growing pressure to govern AI usage in their organizations, but shadow AI is creeping into mobile apps, often unnoticed. With third-party SDKs making up 60-70% of app code, security risks are everywhere. NowSecure helps security teams detect undeclared AI in mobile apps, ensuring compliance and protecting sensitive data. Book a demo today to take control of your AI governance! 👉Book a Call to Assess Your AI RisksSponsored📚 Packt Signature Series: New Releases You Can't Miss❯❯❯❯ Causal Inference in R: Written by Subhajit Das, this book offers a deep dive into causal inference using R, guiding readers through foundational concepts and advanced techniques like propensity score matching and instrumental variables.It helps you develop skills to construct and interpret causal models, address challenges in controlled experiments, and apply doubly robust estimation. With real-world case studies and hands-on examples, the book empowers readers to make informed, data-driven decisions by understanding and establishing causal relationships with precision.Buy eBook $35.99 $24.99❯❯❯❯ Python Feature Engineering Cookbook: Written by Soledad Galli, this third edition of the Python Feature Engineering Cookbook provides a complete guide to crafting powerful features for machine learning models. It covers practical solutions for common challenges, such as imputing missing values and encoding categorical variables, while optimizing data transformation processes.The book explores advanced techniques like feature extraction from dates, times, text, and time series data, as well as using tools like Featuretools and tsfresh. With step-by-step instructions and real-world examples, it helps readers build reproducible feature engineering pipelines, ultimately enhancing machine learning model performance.Buy eBook $35.99 $24.99❯❯❯❯ Quantum Machine Learning and Optimisation in Finance: Written by Antoine Jacquier and Oleksiy Kondratyev, this second edition of Quantum Machine Learning and Optimisation in Finance explores how quantum algorithms enhance financial modeling and decision-making. The book focuses on quantum machine learning (QML) and optimization algorithms, with an emphasis on near-term applications using NISQ systems.It offers practical insights into hybrid quantum-classical computational protocols and addresses the limitations of current quantum hardware. The authors provide an accessible yet rigorous approach to QML, covering topics like quantum neural networks, quantum annealing, and variational algorithms, equipping readers with the knowledge to apply quantum techniques in financial innovation.Buy eBook $35.99 $24.99📊 Data Viz Trends Shaping the Future of Insights❯❯❯❯ SQL Database Project in Azure Data Studio: This article explains how to use the Azure Data Studio extension for managing SQL Database projects. It covers installation, project creation from existing databases or from scratch, adding tables, creating views, and stored procedures. The guide also emphasizes version control in Visual Studio and simplifies publishing changes.❯❯❯❯ An Effective Approach for High Volume Data in Azure Synapse: This article outlines an efficient approach for handling high-volume data in Azure Synapse Analytics. It covers parallel data loading using the COPY INTO command, leveraging Parquet files for efficiency, and implementing dynamic partitioning in fact tables. The method ensures optimal query performance by maintaining balanced distributions and sufficient row counts per partition.❯❯❯❯ JSON in Microsoft SQL Server: A Comprehensive Guide: This article explores handling JSON data in Microsoft SQL Server, covering storage, retrieval, validation, querying, modification, and performance optimization. It demonstrates using built-in functions like JSON_VALUE, JSON_QUERY, OPENJSON, and JSON_MODIFY, while ensuring data integrity with ISJSON() constraints. Best practices include indexing computed columns, schema validation with stored procedures, and error handling to maintain efficient and secure JSON operations in SQL Server.❯❯❯❯ Creating a Linked Server in Amazon RDS for SQL Server: A Step-by-Step Guide. This guide explains how to create and configure a linked server in Amazon RDS for SQL Server using SQL commands. It covers prerequisites, authentication setup, testing, and advanced configurations like timeout settings and remote procedure calls. Best practices include using linked servers sparingly, securing connections, and optimizing queries for performance.📈 Dive into Databases: SQL Essentials❯❯❯❯ Using Key Vault services in Azure Ecosystem: This guide explains how to use Azure Key Vault to securely store and manage secrets like passwords and access keys. It covers creating a Key Vault, storing secrets, and setting up access permissions using Access Control (IAM) and Access Policies. Applications can retrieve secrets securely, reducing the need to store sensitive information in code.❯❯❯❯ Software Deployment Strategies: This article explores software deployment strategies, focusing on Canary and Blue-Green deployments. Canary deployment gradually releases updates to a small group of users, ensuring stability before a full rollout. Blue-Green deployment runs two environments in parallel, enabling instant rollback if needed. Both strategies minimize downtime and risks, with trade-offs in complexity and cost.❯❯❯❯ Support Vector Machines: A Progression of Algorithms. This article explains the progression of Support Vector Machines (SVMs) from Maximal Margin Classifier (MMC) to Support Vector Classifier (SVC) and finally to full SVM. MMC finds a strict linear boundary, SVC allows some misclassification, and SVM extends this by using kernel functions to classify non-linear data efficiently.❯❯❯❯ Accelerate migration from traditional BI tools to Amazon QuickSight with generative AI and Storm Reply. This article details BMW Group's migration from on-premises BI tools to Amazon QuickSight, leveraging automation and generative AI. The project streamlined dashboard conversions, reducing manual effort by 80% while maintaining 90% data accuracy. The approach improved scalability, simplified BI processes, and demonstrated the potential of AI-driven cloud BI modernization.🔄 Real-World Transformation: How Gen BI Made Data Work❯❯❯❯ Deep Dive into WebSockets and Their Role in Client-Server Communication. This blog thoroughly examines real-time communication methods, focusing on WebSockets and their role in enabling two-way interactions. It explains how WebSockets differ from traditional HTTP approaches, outlines design challenges for messaging apps, and discusses scaling strategies, reliability, and best practices.❯❯❯❯ Amazon Redshift Serverless adds higher base capacity of up to 1024 RPUs. This blog explains how Amazon Redshift Serverless transforms data warehousing by scaling compute resources with a new 1024 RPU capacity. It compares performance against 512 RPUs for complex queries, data ingestion, and analytics, emphasizing cost efficiency and faster execution times.❯❯❯❯ Governing the ML lifecycle at scale, Part 4: Scaling MLOps with security and governance controls. This blog outlines building and governing a multi-account machine learning platform for streamlined model deployment. It describes roles, standardized templates, secure provisioning, and automation that empower data science teams to transition models into production efficiently while ensuring governance and collaboration.❯❯❯❯ Handle errors in Apache Flink applications on AWS. This blog explains error handling in streaming applications using Apache Flink. It details proven strategies for managing errors through retries and dead letter queues. The post shows how asynchronous I/O and side outputs effectively preserve data integrity and boost reliability.⚡ Quick Wins: BI Hacks for Instant Impact❯❯❯❯ Memorystore Cluster Autoscaler now on GitHub. This article is about the open-source Memorystore Cluster Autoscaler for Redis on Google Cloud. It explains how the tool automatically scales Redis clusters, adjusting shard count based on CPU and memory usage, to optimize performance and manage costs. The article details its architecture, deployment options via Cloud Run or GKE, and various configuration scenarios for different workload patterns.❯❯❯❯ New query insights capabilities for Cloud SQL Enterprise Plus. This article introduces the new query insights enhancements for Cloud SQL Enterprise Plus edition. It explains how detailed telemetry, 30-day query plans, wait event analysis, index recommendations, and an AI-powered chat interface empower developers and DBAs to quickly diagnose and optimize high-performance databases on Google Cloud.❯❯❯❯ Spectra Logic Offers 24G Optical SAS Switch to Transform Data Center Tape Storage. This blog introduces Spectra Logic's OSW-2400 Optical SAS Switch, a new solution that transforms tape storage connectivity in data centers. It explains how active optical cables extend connection distances up to 100 meters, enabling flexible deployments, improved performance, and significant cost savings by reducing the need for expensive Fibre Channel infrastructure.❯❯❯❯ A Guide to Using Amazon Bedrock Prompts for LLM Integration: This blog introduces Amazon Bedrock, a fully managed service that simplifies integrating large language models into applications. It outlines key benefits like access to diverse models, enhanced security, and serverless operation, while providing hands-on Python examples, prompt management strategies, and best practices for production usage.🎤 Voices of BI: Lessons from Industry Experts❯❯❯❯ An In-Depth Guide to Threads in OpenAI Assistants API: This blog compares the limitations of standard chat completion models with the enhanced capabilities of the Assistance API. It explains how the Assistance API overcomes issues like lack of memory, computational limitations, and synchronous processing by supporting features such as persistent threads, code interpretation, file retrieval, function calling, and asynchronous workflows. The post includes Python code examples demonstrating how to create, list, retrieve, modify, and delete threads and messages, helping developers manage conversation context more effectively.❯❯❯❯ Indexed View for Aggregating Metrics: This blog explores using Microsoft Azure SQL for storing and querying daily user metrics in web applications. It demonstrates how to aggregate data, such as user activity from a hotel booking site, over daily, weekly, or monthly intervals, and highlights the performance benefits of using indexed views for real-time analytics on large datasets.❯❯❯❯ Spring Data Neo4j: How to Update an Entity: This blog explores various methods for updating entities in Spring Data Neo4j. It highlights the limitations of the default save () method, which can inadvertently overwrite existing values with null, and demonstrates alternative approaches such as PATCH methods, custom Cypher queries, and DTO-based projections to update only specific properties while preserving existing data.❯❯❯❯ SQL Dynamic Data Masking for Privacy and Compliance: This blog explains SQL Server Dynamic Data Masking, a feature that obscures sensitive data from non-privileged users to enhance security and compliance. It covers when and why to use masking (e.g., in development environments, for third-party access, and to meet regulatory requirements), outlines prerequisites and masking functions, and provides step-by-step examples for applying and testing masking rules. The post also discusses how dynamic masking supports data minimization, audit readiness, and scalability, ensuring only authorized users see full data while others view masked values.We’ve got more great things coming your way, see you soon!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{font-size:75%;line-height:0} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}}

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901

Merlyn From Packt

04 Feb 2025

MicroStrategy ONE, High Volume Data in Azure Synapse, Mirroring Data with Striim and Microsoft Fabric

Merlyn From Packt

04 Feb 2025

0
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977

Packt

03 Feb 2025

Your Thoughts Matter – Get a Free Packt Credit for 30-Min of Your Time!

Packt

03 Feb 2025

Share your insights in a 30-min interview and choose any ebook from the Packt library!Claim a Free Packt Credit for a Quick 30-Min Interview!Hi ,At Packt, we are always looking for ways to better support data professionals like you in your learning journey.Your input can help us shape future content to better meet your needs.We would love to invite you to a quick 30-minute user insight interview where we can hear about your learning preferences and how we can improve our offerings. ❯❯❯❯ Claim Your Interview Slot!Since you’ve engaged with our data books and newsletters, your perspective would be incredibly valuable in guiding the future of our content.As a token of our appreciation, you'll receive a Packt credit to redeem for any ebook of your choice after the interview.If you're interested, please share your availability here:👉 Reserve Your Interview Slot - it’ll only take 2 - minutes!Thank you for considering, and we look forward to chatting with you!Schedule Your 30-Min SessionCheers,Packt.*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{font-size:75%;line-height:0} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}}

0
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931

Merlyn From Packt

28 Jan 2025

50% of AI Leaders Boost Hyperscaler Investments, Riveron & Alteryx, Build Apps with Microsoft Fabric API

Merlyn From Packt

28 Jan 2025

BigQuery Metastore, AI-Driven Data Dashboard Prototype, Native Execution in Microsoft FabricStart PII Leak Detection and Data Flow Mapping Where It Matters Most: In the Code92% of breaches in 2023 involved PII. HoundDog bridges AppSec and Data Security with an ultra-fast, lightweight static code scanner that detects PII leaks early, preventing costly fixes later.It automates compliance for frameworks like HIPAA, PCI, GDPR, and FedRAMP, ensuring PII safety from development to deployment. Trusted by Fortune 500s, HoundDog enables shift-left PII prevention with IDE plug-ins and CI/CD integration. Book a demo now to see how HoundDog can streamline your security and compliance efforts!Book a Live DemoSponsored📬 Welcome to BIPro #88– Your Weekly Business Intelligence Boost! 🚀We’re back from the holiday break! We hope you've missed our updates as much as we've missed sharing them with you 😊. We’ve also been working on something exciting to make your learning journey effortless, and we’d love for you to help co-create it with us!Take a quick moment to fill out this survey, and as a thank-you, you'll get access to a free ebook on the AI Crash Course. Now, let’s jump right in! This week, we’re exploring cutting-edge trends and tools to supercharge your data strategy. From Riveron’s exciting new partnership with Alteryx to building apps with the Microsoft Fabric API, we’ve got insights that will elevate your BI game. Plus, we’ve got tips on improving data readiness, enhancing data visualization, and so much more! Let’s dive in 👇Top Insights:➽Survey Reveals Over 50% of AI Leaders Plan to Augment Hyperscaler AI Investments➽Riveron Announces Partnership with Alteryx➽How to Improve Data Readiness for Tableau Cloud➽Building Apps with Microsoft Fabric API for GraphQL➽Important Update coming to R and Python visuals in Power BI➽Boosting Data Accuracy: Resolving Common Data Quality Issues Using SQL➽Introducing BigQuery metastore fully managed metadata service➽Faster data processing with Native Execution Engines in Microsoft Fabric Runtime 1.3Dive in and let this week’s insights supercharge your BI journey! 🚀Design the Learning Journey You Want! 🌟 Help Us Make Your Learning Journey Even Better! 🌟As we mentioned earlier, we've got something exciting in the works to make your experience with Data Science, BI, and ML even easier, and we’d absolutely love for YOU to be a part of it!Your input will help us create the perfect learning experience for you! It’ll only take a few minutes, and as a thank-you, you’ll get full access to a free ebook on the AI Crash Course!👉 Take the Survey Now!Let's make learning even more amazing, together! 💡Take the Survey Now!Cheers,Merlyn ShelleyGrowth Lead, Packt📊 Data Viz Trends Shaping the Future of Insights⫸Riveron Announces Partnership with Alteryx: Riveron, a business advisory firm specializing in CFO and private equity services, partnered with Alteryx to enhance financial transformations using reporting and analytics tools. This collaboration aims to streamline processes, support data-driven decisions, and enable faster AI-powered business insights.⫸Metabase alternatives: peeking at other Business Intelligence tools: This article compares popular Business Intelligence tools like Metabase, Tableau, Power BI, Looker, Mode, Superset, Domo, and Quicksight. It outlines each tool's strengths, ideal users, and key features, with insights from community feedback, focusing on ease of use, cost, and deployment options.⫸How to Improve Data Readiness for Tableau Cloud: This blog outlines a four-step framework to improve data readiness for AI and self-service in Tableau: 1) Monitor data sources to assess their quality. 2) Identify meaningful objectives aligned with organizational goals. 3) Create and promote certified data assets. 4) Enable users by providing guidance and tools.⫸Building Apps with Microsoft Fabric API for GraphQL: This article highlights how Microsoft Fabric's GraphQL API enables the creation of data applications. It offers efficient data retrieval, flexibility, and single-endpoint access. The architecture leverages a medallion structure with data from the gold layer for analytics. Security is ensured via service principal authentication, and CI/CD pipelines automate app deployment.⫸Amazon QuickSight: 2024 year in review: Amazon QuickSight's 2024 innovations focused on AI, scalability, and user experience. Key features included Amazon Q for natural language data queries, scenario analysis, and unstructured insights. Enhanced visualizations, multi-source integration, and governance improvements were added. QuickSight's capabilities, including expanded regional support and deeper AI integration, empower businesses to analyze data faster and more efficiently.⫸Power BI January 2025 Feature Summary: Power BI's latest update introduces features like "Explore this data" for easier visualization exploration, enhanced Treemap visuals with new tiling methods, and semantic model version history for better management. Additionally, TMDL scripting (preview) allows users to script and modify models efficiently, along with other improvements to reporting and data connectivity.📈 Dive into Databases: SQL Essentials⫸Database Version Control with Git in Azure DevOps: This solution outlines how to use Azure DevOps and Git for version controlling SQL Server database scripts. By storing and backing up database code in Git, users can easily track changes and recover from data loss. The process involves creating a Git repository, writing a PowerShell script to generate and push SQL scripts, and using Azure DevOps for centralized storage and versioning. The solution improves database management and ensures secure, efficient tracking of SQL code changes over time.⫸Things I Wish I Knew as a DBA: This recorded webinar offers valuable insights from a seasoned DBA with over 20 years of experience, focusing on lessons learned from mistakes in areas such as corruption, backup and restore, managing expectations, performance, and security. Attendees will gain practical knowledge through demos and scripts, plus learn about dbWatch, a solution to automate key database management tasks.⫸JSON Data Type in Azure SQL Database: The article discusses the new native JSON data type in Azure SQL Database, offering improved storage efficiency and faster query performance. It covers using JSON functions for manipulation and compares the performance between the JSON data type and NVARCHAR(MAX).⫸Vector DB implementation using FAISS: This article demonstrates implementing an efficient document search system using FAISS (Facebook AI Similarity Search)and sentence embeddings. By leveraging the sentence-transformers library for embedding text and FAISS for vector database management, users can quickly retrieve relevant documents based on queries. The solution is ideal for applications like chatbots, document retrieval, and natural language understanding, and includes practical examples of integrating these technologies for semantic search.⫸Get Started With Vector Search in Azure Cosmos DB: This guide explains how to set up and use the Vector Search feature in Azure Cosmos DB for NoSQL. It walks through configuring a vector database, loading movie data with embeddings, and performing similarity searches in Python, TypeScript, Java, or .NET. The app uses the text-embedding-ada-002 model for vectorization.🔄 Real-World Transformation: How Gen BI Made Data Work⫸Behind the Scenes of a Successful Data Analytics Project: This article outlines a proven approach to tackling data projects. Key steps include defining the problem and objectives, setting expectations with stakeholders, preparing and cleaning data, performing exploratory analysis, building a data story, and ensuring actionable insights are shared and acted upon for meaningful business outcomes.⫸How Most Organizations Get Data & AI Strategy Wrongand How to Fix It? This article discusses the complexities of data strategy, addressing common misconceptions and offering a structured approach for organizations to leverage data effectively. It emphasizes that data strategy is not just about technical capabilities but needs to be integrated with business strategy, focusing on making strategic choices and fostering a data-driven culture.⫸Add Copilot Summaries to Power BI email subscriptions (Preview): The preview of Copilot summaries for Power BI report email subscriptions is now available for standard subscriptions on eligible capacities. This feature delivers insights on reports or specific pages via email. Users can opt-in, preview summaries, and test subscriptions, with some limitations on availability and report types.⫸Important Update coming to R and Python visuals in Power BI: Power BI service visuals will soon be upgraded with Python 3.11 and R 4.3.3, offering up to 2 vCores and updated libraries. Older Python (3.7.7) and R (3.4.4) versions will be retired. This update may affect existing visuals. Ensure compatibility by testing locally before rollout.⫸Charts, Dashboards, Maps, and More: Data Visualization in the Spotlight: This collection of articles covers various topics to elevate your data visualization and analysis skills. Highlights include tips on creating stunning charts, building effective dashboards, mastering geospatial data, and diving into advanced chart types like bump charts, plus AI insights and hands-on projects.⫸Sustainable Business Strategy with Data Analytics: This article explores how data analytics can help align diverse stakeholder interests in sustainability-driven supply chain decisions. It details how manufacturing plants can be strategically optimized for cost-efficiency and minimal environmental impact, using data models to balance production, logistics, and sustainability goals.⚡ Quick Wins: BI Hacks for Instant Impact⫸Enhance your Amazon Redshift business intelligence workloads with gen AI capabilities using Amazon Q in QuickSight: This article explains how Amazon QuickSight, paired with Amazon Redshift, empowers businesses to enhance their business intelligence workflows. It highlights Amazon Q, a feature that allows users to generate visualizations and insights through natural language queries, simplifying data access and decision-making.⫸JSON aggregates in Fabric Datawarehouse (Preview): This article introduces the preview of two powerful JSON aggregate functions in Fabric Data Warehouse: JSON_ARRAYAGG and JSON_OBJECTAGG. These functions simplify the creation of JSON arrays and objects from SQL data, improving query formatting and making it easier to represent complex data structures in JSON format.⫸Build SQL Server APIs Rapidly: In this webinar, DreamFactory CTO Jason Gilmore will showcase how to quickly generate secure, documented REST APIs for Microsoft SQL Server using DreamFactory’s platform. Topics include API generation, exposing stored procedures, data masking, and connecting SQL Server data to low-code dashboards and real-time reports. Attendees can try DreamFactory's SQL Server connector with a free 14-day trial.⫸Faster data processing with Native Execution Engines in Microsoft Fabric Runtime 1.3: This article introduces the Native Execution Engine for Fabric Spark, a new approach to memory management that improves data processing performance. By bypassing the JVM’s garbage collector, it reduces overhead and enhances memory allocation, offering faster data analytics with adaptive scaling and more stable performance without manual memory tuning.⫸Boosting Data Accuracy: Resolving Common Data Quality Issues Using SQL: This article explores how to handle common data quality issues in SQL, including NULL values, inconsistent data formats, invalid characters, duplicates, and non-ASCII characters. It offers practical SQL function examples to identify and resolve these problems, enhancing data integrity for better business insights and decision-making.⫸Introducing BigQuery metastore fully managed metadata service: This article introduces the BigQuery Metastore, a fully managed, scalable metadata service that supports interoperability across multiple data processing engines, including BigQuery, Apache Spark, Hive, and Flink. It helps unify data management and governance, enabling seamless access to data stored in various formats, such as Apache Iceberg, and simplifying metadata management in a lakehouse architecture. The service is serverless, requires no setup, and scales automatically, ensuring efficient data discovery, governance, and query processing at scale.🎤 Voices of BI: Lessons from Industry Experts⫸Survey Reveals Over 50% of AI Leaders Plan to Augment Hyperscaler AI Investments: A survey by DataRobot reveals that over 50% of AI leaders plan to increase investments in hyperscaler AI tools to address issues like interoperability, governance, scalability, security, and high costs. Despite investing heavily in hyperscaler AI, leaders face challenges scaling AI, validating security, and overcoming vendor lock-in. Many are seeking integrated AI solutions that reduce costs, ensure compliance, and accelerate AI initiatives. The DataRobot enterprise AI suite offers a customizable approach that accelerates AI use case delivery and reduces costs while improving security and compliance.⫸Tchibo brews up 10x faster customer insights with AlloyDB for PostgreSQL: Tchibo, a German coffee retailer, boosted customer feedback analysis by adopting AlloyDB for PostgreSQL. The solution improved query speeds from 10 seconds to one, enabling real-time insights. With AI-driven tools like "Customer Voice," Tchibo enhanced decision-making, reduced operational overhead, and positioned itself for scalable growth and innovation.⫸OpenAI Introduces Operator research preview: The newly released Operator is an AI agent that automates tasks on the web. Powered by the Computer-Using Agent (CUA), it interacts with graphical interfaces to perform actions like filling forms or ordering groceries. Initially available to Pro users in the U.S., it aims to expand based on feedback.⫸How to Build a Data Dashboard Prototype with Generative AI? This tutorial demonstrates how to create an interactive data dashboard using Goodreads reading data. It shows how to generate charts with Vizro-AI using natural language prompts and integrate them into a Jupyter Notebook. The resulting dashboard visualizes book reading timelines, reading velocity, and reviews comparison.⫸Optimising Budgets With Marketing Mix Models In Python: This article is the third part of a series on marketing mix modeling (MMM). It covers using MMM to optimize marketing budgets, explaining key concepts like response curves and linear programming. It also includes a hands-on Python tutorial for simulating data, training a model, validating it, and performing budget optimization.⫸The Basics you Must Master Before Diving into Marketing & Product Analytics: This article compares Product Analytics and Marketing Analytics, outlining their key differences in objectives, teams involved, tools used, and KPIs. It emphasizes how both disciplines play a critical role in driving growth, with Product Analytics focusing on user interactions and Marketing Analytics optimizing acquisition campaigns.We’ve got more great things coming your way, see you soon!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{font-size:75%;line-height:0} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}}

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601

Merlyn From Packt

10 Dec 2024

ChatGPT Pro, LlamaIndex’s integration with AlloyDB and PostgreSQL Cloud SQL, ADX dashboards as Real-Time Dashboards in Fabric, Google Cloud Backup and DR Service for SAP HANA, JSON in PostgreSQL

Merlyn From Packt

10 Dec 2024

Build Polymorphic Associations in SQL Server with Foreign Keys, Data Control LanguageStop worrying about your to-do list.Zapier connects the apps you use every day, so you can focus on what matters most.Start working more efficiently -Create your free account today.Get started for freeSponsored🗞️Welcome to BIPro #87 – Your Weekly Business Intelligence Boost! 🚀Get ready for this week’s latest BI trends, strategies, and insights to fuel your data-driven success!📊 Data Trends That Matter◘ LlamaIndex Meets Cloud Power: Unlock better insights with LlamaIndex’s integration with AlloyDB and PostgreSQL Cloud SQL.◘ Revamping Supply Chains: How Rehrig Pacific leverages Amazon QuickSight for transformative analytics.◘ No-Code Wizardry: Open Interpreter makes BI accessible to everyone—no code required!◘ Direct Data Magic: A fresh approach to visualizing data straight from Numpy arrays.◘ Microsoft Fabric Gets the Green Light: Now FedRAMP High authorized—secure your BI in Azure Commercial.◘ The NOLOCK Paradox: Why “dirty reads” might just clean up your database performance.◘ JSON in PostgreSQL: Powerful, versatile, and essential for modern BI.Mastering Software Deployments at the Edge: A User’s Guide to Diverting DisasterSoftware delivery to dedicated edge devices is one of the most complex challenges faced by IT professionals today. While edge deployments come with inherent complications, it’s possible to avoid the pitfalls. With this guide in hand, a little planning, and the right tools and strategies in place, you can be confident you’ll never push a faulty update at scale.Read the GuideSponsored🔄 Transformations That Inspire◘ SAP HANA’s Safety Net: Google Cloud’s Backup and DR Service for enterprise peace of mind.◘ New AWS Datasets: 39 fresh additions to supercharge your analysis on the Registry of Open Data.◘ Data Security Simplified: A closer look at Data Control Language (DCL).◘ Real-Time BI Monitoring: Fabric Spark applications with live insights.◘ Microsoft SQL Server 2025: AI-ready database redefined—cloud to ground.◘ Smart Associations: Building polymorphic relationships in SQL Server.◘ Effortless Pipeline Management: Streamline Azure Data Factory pipelines in Microsoft Fabric.◘ PostgreSQL Optimization: Query smarter, not harder.⚡ Quick BI Wins◘ Firestore Migration Success: How HighLevel transitioned workloads with ease.◘ Save Big on AWS: Practical tips for effective cost optimization.◘ Real-Time Dashboards in a Snap: Seamlessly recreate your ADX dashboards in Fabric.◘ Structured Data Basics: Build a solid BI foundation with key principles.◘ Meet ChatGPT Pro: The next level in conversational AI.◘ Sora Is Here: Discover the new standard in AI tools.◘ DIY AI Training: Use Google Colab to train your own language models.🎤 Insights from BI Pros◘ AI Meets Strategy: Integrating AI and data science into your business roadmap.◘ Closing the Data Literacy Gap: A deep dive into the evolution and future of data skills.◘ GPS and Analytics: Bridging maps, kinematics, and BI for next-gen solutions.◘ Power BI Teams Update: What the ‘Teams activity analytics’ deprecation means for you.◘ From Code to Paper: Using GPT and Python to create scientific documents.◘ SQL vs. Spreadsheets: Building robust champion/challenger tests from scratch.Dive in and let this week’s insights supercharge your BI journey! 🚀Calling All Data & BI Enthusiasts!Do you dream of sharing your insights and building your reputation in the Data & BI community? Contribute to our new column in the Packt BIPro newsletter! Share your experiences, discuss new BI tools, or ask questions. Gain recognition among 37,000 BI professionals. Reply with your Google Docs article or use our weekly feedback form. Enjoy a free PDF of "Interactive Data Visualization with Python - Second Edition" for participating. Click reply or share your content today!Share your thoughts and opinions here! @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }This is our final edition of BIPro for 2024, but don’t worry—we’ll be back with more insights and updates in January 2025. In the meantime, we’ve got a little holiday treat for you! Packt has some exciting offers lined up to help you boost your tech skills and get ready for an amazing new year! It’s the perfect opportunity to relax, learn something new, and stay ahead in your field. Keep an eye out for these special holiday deals!From all of us at the Packt Newsletters team, we wish you a joyful holiday season and a fantastic start to 2025. See you next year! 🎄✨Cheers,Merlyn ShelleyEditor-in-Chief, PacktPackt’s Signature Series: New Titles Just Arrived!📚➽Learn Microsoft Fabric: Explore Microsoft Fabric's features through real-world examples to build robust data analytics solutions, including lakehouses and data warehouses. Learn to monitor and manage your analytics system for flexibility, performance, and security, while leveraging AI-driven insights with Copilot integration. Start your free trial for access, renewing at $19.99/month.eBook $24.99 $35.99Print + eBook $44.99➽Microsoft Power BI Cookbook - Third Edition: Dive into Microsoft Data Fabric to enhance data strategies and gain deeper insights. Effortlessly create Hybrid tables and comprehensive scorecards while utilizing new visualization tools that transform complex data into clear, actionable charts and reports for effective decision-making in Power BI. Start your free trial for access, renewing at $19.99/month.eBook $29.99 $43.99Print + eBook $59.99➽Fundamentals of Analytics Engineering: Explore how analytics engineering aligns with your organization's data strategy while gaining insights from seven industry experts. Address common challenges faced by businesses and learn to implement scalable analytics solutions, from data ingestion to visualization, using industry-leading tools. Start your free trial for access, renewing at $19.99/month.eBook $24.99 $35.99Print + eBook $44.99➽Getting Started with DuckDB: Utilize DuckDB to efficiently load, transform, and query diverse data sources and formats. Gain hands-on experience with SQL, Python, and R for data analysis, while exploring how open-source tools and cloud services enhance DuckDB’s versatile capabilities in the data ecosystem. Start your free trial for access, renewing at $19.99/month.eBook $29.99 $43.99Print + eBook $54.99📊 Data Viz Trends Shaping the Future of Insights⫸ LlamaIndex integrates with AlloyDB and Cloud SQL for PostgreSQL: This blog dives into how AI agents, powered by LlamaIndex and Google Cloud integrations, are transforming application development. It highlights agentic RAG workflows, complex data parsing, and advanced knowledge retrieval, showcasing new possibilities for automating tasks like report generation and beyond.⫸ Rehrig Pacific Company transforms supply chain analytics with Amazon QuickSight: This blog highlights how Rehrig Pacific transformed its analytics with Amazon QuickSight. It explores how they overcame data growth challenges, rapidly deployed dashboards, embedded AI-driven analytics, and boosted customer satisfaction while planning future AI enhancements to scale operations efficiently.⫸ No Code, No Problem: How to Use Open Interpreter: This blog introduces Open Interpreter, a no-code tool that lets you control your computer with natural language commands. Learn how to install it, configure API keys, and use it for tasks like math calculations, defining functions, and data analysis effortlessly!⫸ Visualizing Data Directly from Numpy Arrays: This tutorial covers visualizing data in Python using NumPy and Matplotlib. Learn practical examples such as line plots for stock prices, scatter plots for height versus weight analysis, and 2D array heatmaps for temperature data to build essential data visualization skills.⫸ Microsoft Fabric approved as a Service within the FedRAMP High Authorization for Azure Commercial: Microsoft Fabric has achieved FedRAMP High Authorization for Azure Commercial, meeting rigorous security standards for US government agencies. This milestone enables federal organizations to securely adopt AI-powered tools to manage, connect, and analyze data while ensuring compliance.⫸ The Paradox of NOLOCK: How Dirty Reads Can Sometimes Be Cleaner. This blog explores the nuances of using NOLOCK in SQL Server. While often discouraged, NOLOCK can improve query speed by reading uncommitted data, which is useful for non-critical reports. It highlights strategic use cases, trade-offs, and when accuracy must take priority.⫸ JSON in PostgreSQL: This article provides a practical guide to using JSON in PostgreSQL, covering JSON data types, key operators, and functions. Learn to store, query, and manipulate JSON efficiently with examples of table creation, valid data insertion, and querying JSON fields.🔄 Real-World Transformation: How Gen BI Made Data Work⫸ Google Cloud Backup and DR Service for SAP HANA: This article explores Google Cloud's Backup and DR solution for SAP HANA, highlighting cost-effective cold disaster recovery strategies with Persistent Disk snapshots. Learn how integration with HANA Savepoints enables faster recovery, reduced storage costs, and simplified DR management.⫸ 39 new or updated datasets available on the Registry of Open Data on AWS: This article highlights the AWS Open Data Sponsorship Program, which democratizes access to over 100 petabytes of cloud-optimized datasets for public analysis. It features 39 newly released datasets, including medical imaging, climate, and geospatial data, fostering innovation and collaboration.⫸ Data Control Language (aka Security): This article explores the three SQL sub-languages: DDL, DML, and DCL emphasizing their interconnected roles in schema design, data manipulation, and privilege management. It highlights best practices, potential pitfalls, and the significance of thoughtful privilege allocation to ensure secure and effective database management.⫸ Monitor Fabric Spark applications using Fabric Real-Time Intelligence: This article explains how to set up a centralized Spark monitoring solution in Fabric using Real-Time Intelligence. It covers configuring Spark diagnostics, emitting logs and metrics to Azure destinations, and querying data with KQL for effective performance monitoring and diagnostics.⫸ Announcing Microsoft SQL Server 2025: Enterprise AI-ready database from ground to cloud. This article introduces Microsoft SQL Server 2025, an AI-ready database designed for hybrid environments. It highlights built-in AI capabilities, enhanced security and performance features, integration with Microsoft Fabric and Azure Arc, and tools for real-time analytics and developer productivity.⫸ Build Polymorphic Associations in SQL Server with Foreign Keys: This article addresses the challenge of creating polymorphic associations in SQL Server, where a foreign key references multiple tables. It explains the concept, illustrates it with a media review database example, and offers design workarounds to maintain data integrity and simplify schema management.⫸ Manage Azure Data Factory pipelines in Microsoft Fabric: This article explores managing existing Azure Data Factory (ADF) pipelines within Microsoft Fabric, offering a solution for centralizing data operations. It details the steps to "mount" ADF environments in Fabric, allowing seamless management while addressing challenges of migration and feature gaps.⫸ PostgreSQL: Query Optimization for Mere Humans. This article discusses optimizing SQL queries by identifying bottlenecks using the PostgreSQL EXPLAIN and EXPLAIN ANALYZE clauses. It covers interpreting execution plans, understanding query performance issues, and provides tips to enhance database efficiency for better user experience.⚡ Quick Wins: BI Hacks for Instant Impact⫸ HighLevel migrates workloads to Firestore: This article explores how HighLevel, a SaaS platform, improved scalability and performance by migrating to Google Firestore. It highlights Firestore's serverless architecture, real-time capabilities, and role in powering HighLevel's AI solutions, enhancing productivity, reliability, and handling rapid database write surges.⫸ AWS Cost Optimization: This article provides actionable tips for optimizing AWS cloud costs. It highlights strategies like minimizing data transfer costs, identifying underutilized EC2 instances, and using cost-allocation tags to reduce waste, streamline operations, and enhance budget management effectively.⫸ Easily recreate your ADX dashboards as Real-Time Dashboards in Fabric: This article explains how to recreate Azure Data Explorer (ADX) dashboards as Real-Time Dashboards in Microsoft Fabric. It covers the benefits of retaining existing data architecture while leveraging Fabric's advanced features and provides step-by-step guidance for transitioning dashboards seamlessly into the Fabric ecosystem.⫸ Learn the Basics of Well-Structured Data: This article explores data literacy, focusing on understanding, structuring, and using data effectively. It highlights key data traits like volume, history, detail, and consistency, explains well-structured data principles, and offers solutions like splitting and pivoting for improving poorly structured datasets.⫸ Introducing ChatGPT Pro: This article introduces ChatGPT Pro, a $200 monthly plan designed for professionals tackling complex problems. It includes access to advanced AI models, such as o1 pro mode, offering enhanced compute capabilities for improved accuracy and reliability in fields like data science, programming, and research.⫸ Sora is here: This article introduces Sora Turbo, an advanced video generation model by OpenAI, now available to ChatGPT Plus and Pro users. It enables realistic video creation from text, images, and videos, offering enhanced storytelling tools with safety features to ensure responsible use.⫸ Training Language Models on Google Colab: This article provides a guide to fine-tuning Large Language Models on Google Colab without losing progress. It explains using Google Drive to save intermediate results, creating save and load functions for model checkpoints, and ensuring continuity in training across sessions.🎤 Voices of BI: Lessons from Industry Experts⫸ How to Integrate AI and Data Science into Your Business Strategy: This article provides a blueprint for conducting a two-day strategy workshop to integrate AI and machine learning into business strategy. It covers preparation, attendee selection, deep-dive topic identification, and post-workshop actions, offering a versatile, industry-agnostic approach for businesses of any size.⫸ Bridging the Data Literacy Gap. The Advent, Evolution, and Current: This article highlights the evolving role of "Data Translators," professionals bridging the gap between business leaders and data teams to drive data-informed decision-making. It explores challenges like balancing resource abundance with actionable insights and emphasizes the critical need for data literacy to maximize organizational impact.⫸ GPS Interpolation Using Maps and Kinematics: This article explores how to enhance vehicle telematics datasets by interpolating GPS locations between signal changes. It explains packaging approaches, demonstrates challenges with repeated GPS data, and outlines how to use maps and speed signals for accurate geospatial interpolation, improving dataset resolution and value.⫸ Power BI in Teams – ‘Teams activity analytics’ report deprecation: This blog announces the deprecation of Power BI's 'Teams activity analytics' report, effective February 1, 2025, and recommends using the native 'Teams Analytics' feature for comprehensive insights into Teams usage and activities.⫸ From Code to Paper: Using GPT Models and Python to Generate Scientific LaTeX Documents. This blog discusses automating the conversion of algorithms into LaTeX-formatted scientific documents using GPT models. It explores structuring repositories, leveraging GPT for consistency and accuracy, and creating adaptable, professional frameworks for documenting complex algorithms in large projects.⫸ SQL vs. Calculators: Building Champion/Challenger Tests from Scratch. This blog explores the impact of A/B testing (Champion-Challenger testing) on business decision-making, inspired by the famous $300 million button story. It provides a practical guide to implementing this method using Oracle SQL, focusing on hypothesis testing, statistical parameters, and optimizing outcomes like payment rates through controlled experiments.We’ve got more great things coming your way—see you soon!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{font-size:75%;line-height:0} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}} @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }

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7549

Merlyn From Packt

03 Dec 2024

PayPal’s DataFlow Migration, Amazon Grocery’s BI Transformation, BluSmart's Green Mobility Revolution, Prompted Reports in QuickSight, Real-Time Dashboards with Copilot, GraphQL Meets SQL

Merlyn From Packt

03 Dec 2024

Streamline with Fivetran, Automated SQL Restore Scripts, Troubleshooting Spark in Fabric @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }👋 Hello ,🗞️Welcome to BIPro #86 – Your Weekly Business Intelligence Boost! 🚀Get ready for a fresh dose of insights, strategies, and tools to supercharge your data-driven decisions.📊Trendy Insights◘ Python Pro Tips:Simplify large dataset handling like a pro.◘ Conda Commands You Need to Know:10 essentials for smarter data science.◘ Surprising Data Sources:5 unconventional places to discover valuable insights.◘ GraphQL Meets SQL:Executing stored procedures in Microsoft GraphQL API.◘ Streamline with Fivetran:Data engineering made simpler.🔄Real-World BI in Action◘ Real-Time Dashboards with Copilot:Create smarter insights on the go.◘ Automated SQL Restore Scripts:Save time with effortless automation.◘ DBA’s Guide to Change Management:Track and manage database updates with ease.◘ Google Gemini Tackles Code Challenges:AI in action during Advent of Code.◘ AI Agents in Networking:How machine learning is reshaping the industry.◘ Model Validation Tips:Best practices for reliable results.⚡Quick Wins for Big Impact◘ Fabric Dashboards Are Here:Real-time dashboards now generally available.◘ From Excel to Power Query:Elevate your analytics game.◘ Generative AI for Enterprises:Why chatbots fail and how AI can succeed.◘ Simplify Data Analysis with R:Find variables across multiple files effortlessly.◘ Dataproc Serverless Updates:Performance and usability upgrades you’ll love.◘ Secure Your Data with Google Cloud:Must-read guide for building a robust platform.🎤Expert BI Insights◘ PayPal’s DataFlow Migration:Real-time analytics success story.◘ Amazon Grocery’s BI Transformation:Smarter operations with QuickSight.◘ CloudWatch & OpenSearch:A seamless analytics experience.◘ Troubleshooting Spark in Fabric:Tips for navigating production challenges.◘ BluSmart's Green Mobility Revolution:Sustainable insights powered by QuickSight.◘ Prompted Reports in QuickSight:Empower users with better scheduling and customization.Ready to dive into the latest BI insights? Let's unlock the power of data!Calling All Data & BI Enthusiasts!Do you dream of sharing your insights and building your reputation in the Data & BI community? Contribute to our new column in the Packt BIPro newsletter! Share your experiences, discuss new BI tools, or ask questions. Gain recognition among 37,000 BI professionals. Reply with your Google Docs article or use our weekly feedback form. Enjoy a free PDF of "Interactive Data Visualization with Python - Second Edition" for participating. Click reply or share your content today!Share your thoughts and opinions here!Cheers,Merlyn ShelleyEditor-in-Chief, PacktPackt’s Signature Series: New Titles Just Arrived!📚➽Learn Microsoft Fabric: Explore Microsoft Fabric's features through real-world examples to build robust data analytics solutions, including lakehouses and data warehouses. Learn to monitor and manage your analytics system for flexibility, performance, and security, while leveraging AI-driven insights with Copilot integration. Start your free trial for access, renewing at $19.99/month.eBook $24.99 $35.99Print + eBook $44.99➽Microsoft Power BI Cookbook - Third Edition: Dive into Microsoft Data Fabric to enhance data strategies and gain deeper insights. Effortlessly create Hybrid tables and comprehensive scorecards while utilizing new visualization tools that transform complex data into clear, actionable charts and reports for effective decision-making in Power BI. Start your free trial for access, renewing at $19.99/month.eBook $29.99 $43.99Print + eBook $59.99➽Fundamentals of Analytics Engineering: Explore how analytics engineering aligns with your organization's data strategy while gaining insights from seven industry experts. Address common challenges faced by businesses and learn to implement scalable analytics solutions, from data ingestion to visualization, using industry-leading tools. Start your free trial for access, renewing at $19.99/month.eBook $24.99 $35.99Print + eBook $44.99➽Getting Started with DuckDB: Utilize DuckDB to efficiently load, transform, and query diverse data sources and formats. Gain hands-on experience with SQL, Python, and R for data analysis, while exploring how open-source tools and cloud services enhance DuckDB’s versatile capabilities in the data ecosystem. Start your free trial for access, renewing at $19.99/month.eBook $29.99 $43.99Print + eBook $54.99📊 Data Viz Trends Shaping the Future of Insights⫸ Tips for Handling Large Datasets in Python: Handling large datasets in Python doesn’t have to be overwhelming! This blog walks you through practical tips and tools—like generators, multiprocessing, pandas chunksize, Dask, and PySpark—to efficiently process big data while keeping it memory-friendly.⫸ 10 Essential Conda Commands for Data Science: Effectively managing Python environments is crucial for avoiding conflicts and ensuring consistent results. This blog highlights 10 must-know Conda commands—such as creating, activating, and exporting environments—that simplify your workflow and eliminate “it works on my machine” issues.⫸ 5 Unconventional Sources of Data for Your Next Project: This blog introduces five unconventional data sources for your next project. You’ll learn how social media, public sensors, wearables, satellite imagery, and web scraping can offer fresh insights. These options can elevate your research beyond traditional data methods.⫸ Execute Stored Procedures in the Microsoft GraphQL API: This article explains how to leverage Microsoft Fabric’s GraphQL API to use stored procedures. While the API handles queries and updates well, it can also support stored procedures for modifying data or returning result sets. The article walks through integrating stored procedures as queries or mutations in your application.⫸ Simplify Data Loading with Fivetran (HVR): Data Engineering with Fabric: This article addresses how to replicate large tables without slowly changing dimensions (SCD) from a PostgreSQL database to Azure Databricks using Fivetran. It explains the business problem, SCD types, and incremental load strategies. Fivetran’s automated replication of transaction logs is highlighted as the optimal solution to efficiently move data to the cloud.🔄 Real-World Transformation: How Gen BI Made Data Work⫸ Creating a Real Time Dashboard (RTD) using Copilot: This article explains how to use Copilot to create Real-Time Dashboards (RTDs) in Microsoft Fabric. It aims to make dashboard creation automatic and user-friendly without technical expertise. Copilot generates insightful KQL queries and helps users filter and visualize data, providing quick insights from streaming and timeseries data.⫸ Automatically Generate Restore Database SQL Server Scripts: This article provides a T-SQL script to automate the restoration of multiple SQL databases onto a new server. It explains how to generate dynamic RESTORE DATABASE commands, reducing manual effort in migrating large numbers of databases. The script handles backup files, restores full backups, and supports destination directory customization.⫸ Change Management for DBAs to Install and Track Database Changes: This article focuses on the Change Management process for DBAs handling production database changes. It provides practical steps for tracking and installing changes, including saving necessary files, preparing in advance, and maintaining historical documentation. By following this process, DBAs ensure efficient and compliant database change management in production environments.⫸ Google Gemini Is Entering the Advent of Code Challenge: This blog discusses using the Google Gemini LLM to tackle the Advent of Code challenge, a series of daily programming puzzles. The author explores how Gemini generates Python code to solve the challenges, sharing the process and results via an open-source repository. The post emphasizes the potential of LLMs in coding, offering insights into automated problem-solving for developers.⫸ AI Agents in Networking Industry: This article explores the use of AI agents in automating network deployment, configuration, and monitoring. It demonstrates a multi-agent system workflow for deploying a network with CrewAI’s MAS, including tasks like extracting installation steps, executing commands, generating configurations, and verifying connectivity. The use of AI agents in networking shows their potential to automate complex processes, adapt to challenges, and optimize performance.⫸ Model Validation Techniques: This article introduces various model validation techniques for machine learning, emphasizing their importance in assessing the reliability of predictions. Using a decision tree classifier and a golf-playing dataset, the author demonstrates different validation methods, starting with the simple train-test split, which divides data into training and testing sets. Through clear examples and visuals, readers can better understand how validation methods impact model performance and why choosing the right method matters.⚡ Quick Wins: BI Hacks for Instant Impact⫸ Real-Time Dashboards in Microsoft Fabric is now GA: Microsoft Fabric's Real-Time Dashboards are now generally available, offering fast and actionable insights with no coding required. These dashboards allow users to track key metrics in real time, with auto-refresh rates as low as 10 seconds. New features like flexible, secure data sharing and no-code data exploration empower users to make faster decisions while maintaining data security.⫸ Think you Know Excel? Take Your Analytics Skills to the Next Level with Power Query! This article explores the power of Power Query in Excel, showcasing its ability to simplify tasks like merging datasets, transforming columns, handling missing data, and summarizing information. With user-friendly features, Power Query helps streamline data analysis, saving time and eliminating the need for complex formulas.⫸ Why Internal Company Chatbots Fail and How to Use Generative AI in Enterprise with Impact? This article emphasizes the importance of focusing on business processes rather than just applying chatbots in generative AI solutions. It argues that AI should be used to optimize specific tasks within processes, leveraging orchestration and templates for efficiency and reproducibility. By analyzing workflows and integrating AI into these steps, businesses can achieve meaningful improvements and avoid the pitfalls of using AI chatbots as a one-size-fits-all solution.⫸ Effortless Data Handling: Find Variables Across Multiple Data Files with R. This blog provides a step-by-step guide on how to quickly identify and extract specific variables from multiple SAS files using R functions. The workflow streamlines data preparation, making it easier to handle large datasets and automate the process of locating and merging variables efficiently.⫸ Dataproc Serverless performance and usability updates: This blog announces new features in Dataproc Serverless that enhance Spark job performance and monitoring. Key updates include native query execution for faster batch jobs, built-in Spark UI for real-time monitoring, automated troubleshooting with Gemini, and an "Investigate" tab for simplified error detection.⫸ Learn how to build a secure data platform with Google Cloud ebook: This blog introduces Google Cloud's data security tools outlined in their ebook, "Building a Secure Data Platform with Google Cloud." It highlights features like BigQuery's encryption, IAM controls, VPC Service Controls, and automated monitoring, all designed to protect data while enabling innovation and compliance.🎤 Voices of BI: Lessons from Industry Experts⫸ PayPal's DataFlow Migration: Real-Time Streaming Analytics. This blog details PayPal's successful migration to Google Cloud's Dataflow, addressing challenges with their previous self-managed streaming infrastructure. Dataflow's scalable, cost-efficient, and serverless platform helped improve reliability, optimize performance, and enable real-time AI/ML analytics, enhancing PayPal's observability and empowering innovation in their operations.⫸ Amazon Grocery’s Whole Foods Market simplifies operations and boosts performance with modern business intelligence using Amazon QuickSight: This blog shares how Whole Foods Market migrated to Amazon QuickSight to enhance their business intelligence (BI) platform. The transition improved performance, reduced costs, and streamlined operations across the organization. QuickSight's scalability, security, and speed have empowered teams with faster, more reliable insights, driving better decision-making.⫸ New Amazon CloudWatch and Amazon OpenSearch Service launch an integrated analytics experience: This blog announces the integration between Amazon CloudWatch and Amazon OpenSearch Service, enabling zero-ETL log analysis. It simplifies data visualization and analysis by allowing users to query CloudWatch logs using OpenSearch SQL and PPL directly, and create pre-built dashboards for AWS logs, enhancing operational efficiency.⫸ Troubleshooting Fabric Spark application without production workspace access: This blog outlines how to troubleshoot failed Spark jobs in Microsoft Fabric production environments. It guides production support engineers on downloading event logs from the Spark History Server and developers on configuring a local Spark History Server to render and analyze those logs for troubleshooting.⫸ BluSmart revolutionized sustainable mobility with Amazon QuickSight: This blog discusses how BluSmart, South Asia’s largest zero-emission ride-hailing service, leverages Amazon QuickSight to scale its business. It highlights how QuickSight improves operational efficiency, enables real-time insights, and enhances customer experience, supporting their growth in the electric mobility industry.⫸ Empower business users with prompted reports and reader scheduling in Amazon QuickSight: This blog explains how Amazon QuickSight's new features, prompted reports and reader scheduling, empower business users to accelerate information gathering. Prompted reports allow users to customize filters in pixel-perfect reports, while reader scheduling lets viewers create their own email report schedules, improving efficiency.We’ve got more great things coming your way—see you soon!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{font-size:75%;line-height:0} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}} @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }

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3674

Merlyn From Packt

26 Nov 2024

Azure Container Apps meet Dapr and Bicep, Turn Excel files into CSVs with Fabric, Deploy VerifAI locally, Create stunning charts with Amazon QuickSight + Highcharts

Merlyn From Packt

26 Nov 2024

How Commerzbank is reinventing advisory workflows, Tips for Building Scalable Data Pipelines @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }✂️ Cut your QA cycles down from hours to minutes with QA WolfIf slow QA processes bottleneck you or your software engineering team and you’re releasing slower because of it — you must check out QA Wolf.Their AI-native approach gets your team to 80% automated end-to-end test coverage and helps them ship 5x faster by reducing QA cycles from hours to minutes.Schedule a DemoSponsored🗞️ Welcome to BIPro #85 – Your Weekly BI Power-Up! 🚀Dive into this week’s top insights, tools, and strategies to supercharge your data journey!📊Future of Data: Trends and Tools✦ Master Time-Series Visualization:Innovative ways to visualize complex data.✦ SQL Server Redefined:Revamp legacy architecture with Microsoft Fabric.✦ Python for Visuals:Level up your charts with Matplotlib.✦ AI Simplified:Harness the Naive Bayes model for smarter decisions.✦ Quick Conversion:Turn Excel files into CSVs effortlessly with Fabric.🔄Transformations in Action: Real-World BI✦ Streamline with Microservices:Azure Container Apps meet Dapr and Bicep.✦ Language Models in Action:Integrate LLMs into your systems.✦ SQL Pro Tips:Advanced techniques to tackle complex data tasks.✦ Scalable Pipelines:Essential tips for robust data systems.✦ AI Ethics Explored:Dive into the moral dilemmas of machine intelligence.⚡Instant Impact: BI Hacks You’ll Love✦ Fabric Features Rundown:What’s new this November.✦ AI’s Economic Shift:Automation’s impact on the workforce.✦ BI Fundamentals:Understanding the bias-variance tradeoff.✦ Power BI Upgrades:Latest features to boost your dashboards.✦ DIY Smart Assistant:Build your own with agents and tools.✦ Generative Search Simplified:Deploy VerifAI locally with ease.🎤Industry Voices: BI Wisdom in Action✦ Analytics Made Easy:How one leader simplifies BI for impact.✦ Cassandra to Spanner Made Easy:New proxy adapter simplifies migrations.✦ Smarter Chatbots:Build self-escalating agents with advanced tools.✦ Gen AI in Finance:How Commerzbank is reinventing advisory workflows.✦ Custom Visuals:Create stunning charts with Amazon QuickSight + Highcharts.✦ Productivity Boosters:Enhance visuals in Amazon QuickSight with imports.Get ready for this week’s latest BI trends, strategies, and insights to fuel your data-driven success!Calling All Data & BI Enthusiasts!Do you dream of sharing your insights and building your reputation in the Data & BI community? Contribute to our new column in the Packt BIPro newsletter! Share your experiences, discuss new BI tools, or ask questions. Gain recognition among 37,000 BI professionals. Reply with your Google Docs article or use our weekly feedback form. Enjoy a free PDF of "Interactive Data Visualization with Python - Second Edition" for participating. Click reply or share your content today!Share your thoughts and opinions here!Cheers,Merlyn ShelleyEditor-in-Chief, PacktPackt’s Signature Series: New Titles Just Arrived!📚➽Learn Microsoft Fabric: Explore Microsoft Fabric's features through real-world examples to build robust data analytics solutions, including lakehouses and data warehouses. Learn to monitor and manage your analytics system for flexibility, performance, and security, while leveraging AI-driven insights with Copilot integration. Start your free trial for access, renewing at $19.99/month.eBook $24.99 $35.99Print + eBook $44.99➽Microsoft Power BI Cookbook - Third Edition: Dive into Microsoft Data Fabric to enhance data strategies and gain deeper insights. Effortlessly create Hybrid tables and comprehensive scorecards while utilizing new visualization tools that transform complex data into clear, actionable charts and reports for effective decision-making in Power BI. Start your free trial for access, renewing at $19.99/month.eBook $29.99 $43.99Print + eBook $59.99➽Fundamentals of Analytics Engineering: Explore how analytics engineering aligns with your organization's data strategy while gaining insights from seven industry experts. Address common challenges faced by businesses and learn to implement scalable analytics solutions, from data ingestion to visualization, using industry-leading tools. Start your free trial for access, renewing at $19.99/month.eBook $24.99 $35.99Print + eBook $44.99➽Getting Started with DuckDB: Utilize DuckDB to efficiently load, transform, and query diverse data sources and formats. Gain hands-on experience with SQL, Python, and R for data analysis, while exploring how open-source tools and cloud services enhance DuckDB’s versatile capabilities in the data ecosystem. Start your free trial for access, renewing at $19.99/month.eBook $29.99 $43.99Print + eBook $54.99📊 Data Viz Trends Shaping the Future of Insights⫸ How to visualize time-series data? This blog dives into time-series visualization best practices, offering guidance on chart selection, data structuring, and advanced techniques. It includes a cheat sheet and webinar insights for creating impactful, clear visualizations tailored to specific time-based data patterns.⫸ Modernize a Traditional SQL Server Architecture with Fabric: This blog explores modernizing traditional SQL Server architectures with Microsoft Fabric, highlighting benefits like scalability, cost-effectiveness, and real-time analytics. It covers hybrid approaches, SaaS advantages, limitations, and a step-by-step project plan for implementation.⫸ Data Visualization with Python Matplotlib: This blog explores the various use cases of Python's Matplotlib library for data visualization and pattern recognition. It demonstrates how to create and customize line and bar charts. It highlights visualization as a crucial step in data analysis to uncover complex datasets' patterns, trends, and relationships.⫸ Naive Bayes Model for Machine Learning and AI: This blog introduces the Naïve Bayes classifier, a foundational machine learning model ideal for those who are just starting with the data career. It explains probability basics, conditional probability, Bayes' Theorem, and demonstrates implementing Naïve Bayes in Python for intuitive classification tasks.⫸ Convert Excel Workbooks to CSV with Microsoft Fabric: This blog explains how to convert Excel files to CSV using Azure Data Factory in Microsoft Fabric. It covers the step-by-step process, highlights use cases, and addresses challenges, enabling easyintegration of Excel data into Delta Lake tables for advanced data management.🔄 Real-World Transformation: How Gen BI Made Data Work⫸ Microservice Application with Azure Container Apps, Dapr and Bicep: This blog addresses the challenges of managing microservice infrastructure in the cloud by introducingBicep, a domain-specific language for deploying Azure resources. This guide helps you through creating and deploying microservice applications with Azure Container Apps, Dapr, and Bicep templates,with an emphasis on modularity and automation.⫸ Integrating Language Models into Existing Software Systems: Here you’ll learn the rising impact ofLarge Language Models (LLMs), their real-world applications, and practical methodsto integrate them into existing software infrastructure. It highlights their utility for developers, non-developers, and diverse industries while offering guidance on model selection, integration mechanisms, and hosting options.⫸ 7 Advanced SQL Techniques for Data Manipulation in Data Science: This is aboutadvanced SQL techniquesfor data manipulation in data science, including subqueries, CTEs, recursive queries, window functions, set operators, and GROUP BY extensions. You will get to know when and how to use these powerful tools for deeper, more efficient data analysis.⫸ 5 Tips for Building Scalable Data Pipelines: This blog dive deep into the importance ofhighly scalable data pipelinesin today’s data-driven world. It explains key pipeline stages, common scalability challenges, and tools to overcome them. Real-world scenarios, like scaling during high-traffic events, demonstrate how businesses can ensure efficient, reliable data flow.⫸ Exploring Ethics and Morality Through Machine Intelligence: This blog probesintomachine ethics, exploring challenges in aligning AI behavior with human values and examining frameworks for responsible AI. Using examples like Delphi and ethical dilemmas in autonomous vehicles, it raises critical questions about whose principles AI should follow and the path to establishing global ethical standards.⚡ Quick Wins: BI Hacks for Instant Impact⫸ Fabric November 2024 Feature Summary: This update is about theNovember 2024 Microsoft Fabric enhancements, featuring new tools and capabilities to elevate your data experience. Highlights include the preview launch of Fabric SQL Database, Copilot in Power BI mobile apps, Real-Time Dashboards, and expanded mirroring options for Azure SQL. Stay informed with sessions on SQL databases, certifications, and upcoming events like Microsoft Ignite 2024 and FabCon 2025 to explore these innovations further.⫸ The Economics of Artificial Intelligence — What Does Automation Mean for Workers? This article examines theeconomic impact of AI, highlighting its effects on jobs, productivity, and labor dynamics. Using a task-based economic framework, it explores how AI innovations automate or augment tasks, reshape labor markets, and create new opportunities.⫸ Bias-Variance Tradeoff: This piece focuses on the bias-variance tradeoff, a key concept in predictive modeling. Instead of sticking to theory, it uses real-world data to explain underfitting, overfitting, and why finding the right balance matters. Step by step, it shows how to build and improve models effectively.⫸ Power BI November 2024 Feature Summary: This update highlights exciting features likeCopilot in Power BI Mobile apps, enabling AI-driven insights on the go, and thePath Layer for Azure Map visuals, enhancing geospatial analysis. Additionally, it introduces theOneLake catalogfor ease ofdata management and announces certifications and upcoming events likeIgnite 2024andFabCon 2025.⫸ Build your Personal Assistant with Agents and Tools: This post explores addressing the limitations of LLMs by incorporatingAgents, Tools, and Chainsto enhance functionality. It covers creating simple chats, integrating tools for real-time tasks, adding memory, implementing human validation, and leveraging search capabilities for dynamic, actionable responses.⫸ How to Easily Deploy a Local Generative Search Engine Using VerifAI? This post introducesVerifAI Core, an updated generative search engine allowing you to index local files and create personalized search systems. It explains its architecture, including indexing, retrieval-augmented generation, and verification, while providing setup instructions and practical use cases.🎤 Voices of BI: Lessons from Industry Experts⫸ How One Data Leader Makes Analytics Less Intimidating and More Actionable? This post showcases how Darrick Bartley, an analytics leader at Charlie’s Produce, has transformed the organization into a data-driven culture. Through Tableau training, interactive visualizations, and leadership engagement, he’s made data analytics approachable, fostering better decision-making and operational efficiency across the company.⫸ New proxy adapter eases Cassandra to Spanner migration: This post introduces theCassandra to Spanner Proxy Adapter, a tool enabling effortlessmigration from Cassandra to Spanner without altering application logic. It highlights Spanner’s advanced features, success stories from Yahoo and Reltio, and a simplified migration process for modernizing data infrastructure.⫸ Create a self-escalating chatbot in Conversational Agents using Webhook and Generators: This post explains how to create aself-escalating chatbotusing Google Cloud’s AI tools like Vertex AI and Dialogflow CX. It outlines steps to build a knowledge base, gauge user satisfaction, escalate queries with generative AI, and integrate email triggers using Cloud Run Functions for a hassle-freeuser experience.⫸ How Commerzbank is transforming financial advisory workflows with gen AI: This post highlights how Commerzbank partnered with Google Cloud to implement an AI-powered automation system for financial advisory workflows. Leveraging tools like Vertex AI and Gemini 1.5 Pro, the solution streamlines documentation processes, boosts sales advisor productivity, and enhances client service efficiency, reducing manual workloads and accelerating task completion.⫸ Create custom charts in Amazon QuickSight using the Highcharts visual: This post introduces theHighcharts visual in Amazon QuickSight, empowering users to design tailored visualizations like packed bubble and lipstick column charts. With support for Highcharts JSON schema, this new feature enhances flexibility, branding, and interactivity while streamlining dashboard creation within QuickSight.⫸ Boost productivity with imported visuals in Amazon QuickSight: This post introduces theImport Visuals feature in Amazon QuickSight, allowing users to reuse visuals from existing dashboards or analyses with ease. By simplifying dashboard creation, enhancing collaboration, and reducing development time, this feature helps organizations maintain consistency and improve productivity in data visualization workflows.We’ve got more great things coming your way—see you soon!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{font-size:75%;line-height:0} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}} @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }

0
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4646

Merlyn From Packt

19 Nov 2024

Google Cloud’s Secure Data Playbook, Alteryx Fall ‘24 Updates, REST APIs & Fabric, Topgolf’s BI Makeover, GraphQL Meets Fabric, Saving Big on Open-Source DBs, Sentiment Analysis with WebAssembly, AlloyDB Omni 15.7.0

Merlyn From Packt

19 Nov 2024

Custom T-SQL in Azure Studio, Dataproc Serverless Gets a Boost, SCD vs Overwrite, Patient Jarvis @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }Shouldn't GenAI be doing all the cyber crap jobs by now?Learn about the latest in GenAI for vulnerability management, exposure management and cyber-asset security when you attend the CyberRisk Summit.This free, virtual event on Wednesday, Nov. 20 includes expert speakers from Yahoo, Wells Fargo, IBM, Vulcan Cyber and more. This is the ninth, semi-annual CyberRisk Summit. Attendees can request CPE credits, and all registrants get access to the session recordings. Join us!Register for freeSponsored🗞️Welcome to BIPro #84 – Your Weekly Dose of BI Brilliance! 🚀Fuel your data-driven decisions with the freshest trends, strategies, and hacks from the world of business intelligence.📊 Data Viz & Tools: Future-Proof Your Insights◘ Pandas + SQL = Powerhouse Duo: Unleash their combined potential for seamless data analysis.◘ DuckDB Demystified: A Python-based guide to effortless analytics.◘ Google Cloud’s Secure Data Playbook: Step-by-step to building a fortress-like platform.◘ Custom T-SQL in Azure Studio: Speed up workflows with tailored code snippets.◘ Master Pandas for Data Wrangling: Learn the essentials to transform tabular data.◘ Small Deployments Made Easy: Cloud Migration App simplifies the process.◘ Alteryx Fall 2024 Updates: Faster workflows, better reports—dive in!🔄 BI in Action: Real-World Innovations◘ REST APIs & Fabric: Master the art of data ingestion.◘ GraphQL Meets Fabric: Discover powerful relationships through Microsoft’s API.◘ Dataproc Serverless Gets a Boost: Performance upgrades you can’t miss.◘ Index Management 101: Clean databases = fast queries.◘ Saving Big on Open-Source DBs: Proven cost-cutting strategies.◘ Sentiment Analysis with WebAssembly: SingleStore’s clever approach.◘ Topgolf’s BI Makeover: Learn how QuickSight transformed their game.⚡ Quick Wins: BI Hacks You’ll Love◘ Power BI Magic: Running totals, averages, and more with aggregate functions.◘ SQL Simplified: Clear examples of IS NULL and IS NOT NULL usage.◘ SCD vs Overwrite: Navigate data warehouse dimensions with ease.◘ Moving Averages Made Simple: T-SQL windowing functions explained.◘ Streaming Architecture 101: Build with Apache Kafka and Zookeeper.◘ Patient Jarvis Solution: Fractal’s innovative approach to patient insights.🎤 Voices of BI: Wisdom from the Experts◘ Tableau Viz Extensions: Everything you need to level up visualizations.◘ Graph It Right: NetworkX tips for mastering graphs in Python.◘ Data Validation Done Right: Introducing Pandera for Python users.◘ Fixing Cross-Validation Flaws: Common pitfalls and practical solutions.◘ 6 Pillars of Data Analysis: A framework for actionable insights.◘ AlloyDB Omni 15.7.0: What’s new and why it matters.Enjoy this week’s curated lineup of BI brilliance!Calling All Data & BI Enthusiasts!Do you dream of sharing your insights and building your reputation in the Data & BI community? Contribute to our new column in the Packt BIPro newsletter! Share your experiences, discuss new BI tools, or ask questions. Gain recognition among 37,000 BI professionals. Reply with your Google Docs article or use our weekly feedback form. Enjoy a free PDF of "Interactive Data Visualization with Python - Second Edition" for participating. Click reply or share your content today!Share your thoughts and opinions here!Cheers,Merlyn ShelleyEditor-in-Chief, PacktPackt’s Signature Series: New Titles Just Arrived!📚➽Learn Microsoft Fabric: Explore Microsoft Fabric's features through real-world examples to build robust data analytics solutions, including lakehouses and data warehouses. Learn to monitor and manage your analytics system for flexibility, performance, and security, while leveraging AI-driven insights with Copilot integration. Start your free trial for access, renewing at $19.99/month.eBook $24.99 $35.99Print + eBook $44.99➽Microsoft Power BI Cookbook - Third Edition: Dive into Microsoft Data Fabric to enhance data strategies and gain deeper insights. Effortlessly create Hybrid tables and comprehensive scorecards while utilizing new visualization tools that transform complex data into clear, actionable charts and reports for effective decision-making in Power BI. Start your free trial for access, renewing at $19.99/month.eBook $29.99 $43.99Print + eBook $59.99➽Fundamentals of Analytics Engineering: Explore how analytics engineering aligns with your organization's data strategy while gaining insights from seven industry experts. Address common challenges faced by businesses and learn to implement scalable analytics solutions, from data ingestion to visualization, using industry-leading tools. Start your free trial for access, renewing at $19.99/month.eBook $24.99 $35.99Print + eBook $44.99➽Getting Started with DuckDB: Utilize DuckDB to efficiently load, transform, and query diverse data sources and formats. Gain hands-on experience with SQL, Python, and R for data analysis, while exploring how open-source tools and cloud services enhance DuckDB’s versatile capabilities in the data ecosystem. Start your free trial for access, renewing at $19.99/month.eBook $29.99 $43.99Print + eBook $54.99📊 Data Viz Trends Shaping the Future of Insights⫸ Using Pandas and SQL Together for Data Analysis: This blog helps you understand when to use SQL and Python together for data manipulation, showcasing how PandaSQL bridges SQL's readability with Python's flexibility for seamless integration and analysis in data workflows.⫸ A Guide to Data Analysis in Python with DuckDB: This blog introduces DuckDB, a powerful in-process OLAP database that lets you seamlessly query pandas DataFrames, CSVs, and Parquet files using SQL in Python. Learn how to set it up, generate sample data, and perform data analysis effortlessly.⫸ Learn how to build a secure data platform with Google Cloud ebook: Discover how Google Cloud secures data-driven innovation in the Building a Secure Data Platform with Google Cloud ebook. Learn about advanced tools like encryption, access controls, and compliance monitoring to protect your data while enabling intelligent applications and fostering business growth.⫸ How to Develop Custom T-SQL Code Snippets in Azure Data Studio: This blog guides you on efficiently using and creating custom T-SQL code snippets in Azure Data Studio, helping streamline your workflows by automating repetitive tasks and enhancing productivity in your SQL development process.⫸ Explore Pandas in Python to Analyze and Manipulate Tabular Data: This blog introduces you to the Pandas library, showcasing its power in data analysis and manipulation in Python. Learn key features, installation steps, and practical use cases like creating Series, performing arithmetic operations, and applying aggregations.⫸ How to Use the Cloud Migration App for Small Deployments? This blog introduces the Cloud Migration App for Small Deployments, a tool designed for Tableau administrators to easily transition content, users, and workbooks from Tableau Server to Tableau Cloud. Learn its key features, setup process, and limitations for efficient small-scale migrations.⫸ Alteryx Fall 2024 Release Improves Workflow Efficiency and Reporting: This blog highlights the Fall 2024 Alteryx Release, offering simplified workflows, AI-powered reporting, and enhanced data connectivity. Discover new tools for cloud integration, hybrid architectures, and streamlined productivity to revolutionize data-driven decision-making for businesses and IT leaders.🔄 Real-World Transformation: How Gen BI Made Data Work⫸ Ingesting Data From REST API endpoints: Data Engineering with Fabric. This blog guides you through leveraging REST APIs in Python using a Spotify use case. Learn how to authenticate, retrieve data, handle errors, and interact with endpoints using dynamic functions—all within a Fabric notebook environment.⫸ Relationships with Microsoft Fabric GraphQL API: This blog explores using the Microsoft Fabric GraphQL API to query data across related tables in a star schema. Learn how to create relationships, handle directional queries, and implement advanced many-to-many relationships to maximize data accessibility for end-users.⫸ Dataproc Serverless performance and usability updates: This post introduces new features in Dataproc Serverless to enhance your Spark experience, including faster native query execution, real-time monitoring with a built-in Spark UI, and Gemini-powered autotuning for smarter troubleshooting and performance optimization.⫸ A Tidy Database is a Fast Database: Why Index Management Matters: This post is about identifying, optimizing, and managing database indexes to improve SQL Server performance. Learn how to address unused, fragmented, and overlapping indexes, resolve missing index issues, and implement effective maintenance strategies for efficient resource use and faster queries.⫸ Cost Optimization Strategies for Large-Scale Open-Source DBs: This post guides you on managing large-scale open-source databases cost-effectively. It covers choosing the right database, optimizing infrastructure, tuning performance, leveraging automation, and implementing strategies like caching, sharding, and containerization for efficiency and scalability.⫸ Using SingleStore and WebAssembly for Sentiment Analysis: This article guides you in performing sentiment analysis on Stack Overflow comments using SingleStore and WebAssembly, demonstrating data ingestion, function creation, and analysis through SQL and Python in the SingleStore Cloud environment.⫸ Transforming data into insights: How Topgolf revolutionized business intelligence using Amazon QuickSight. This post highlights how Topgolf transformed its operations with Amazon QuickSight, enabling organization-wide data access, real-time insights, and tailored dashboards to optimize performance, improve customer experiences, and foster a culture of data-driven decision-making.⚡ Quick Wins: BI Hacks for Instant Impact⫸ Aggregate Functions in Power BI - Running Total, Average, Max and Min: This post demonstrates how to create custom aggregations in Power BI using DAX (Data Analysis Expressions). Learn how to set up your data, build tailored measures, and gain precise insights to enhance your reports and data understanding.⫸ SQL IS NULL and SQL IS NOT NULL Examples: This post provides a clear guide on handling NULL values in SQL Server. Learn how to use IS NULL and IS NOT NULL operators effectively, understand the nuances of NULL, and avoid common pitfalls in SQL queries.⫸ Data Warehouse Considerations - SCD Type 2 vs Overwrite Dimensions: This post explores two key strategies for managing dimension table updates in data warehousing: Overwriting Tables and Slowly Changing Dimensions (SCD) Type 2. Learn their use cases, benefits, and why SCD Type 2 is often ideal for tracking historical data changes.⫸ Calculate a Moving Average with T-SQL Windowing Functions: This post explores two methods for calculating moving averages in SQL Server: an older self-join approach and a modern windowing function approach. Learn how to optimize queries and improve performance with indexes and efficient SQL techniques.⫸ Build a Streaming Data Architecture with Apache Kafka and Zookeeper: This article demonstrates how to use Apache Kafka and Zookeeper for real-time data streaming, showcasing a project to capture, process, and load data into Elasticsearch and Azure Data Lake Gen 2 for analysis.⫸ Revolutionizing Patient Insights with Fractal’s Patient Jarvis solution: This article introduces Fractal’s Patient Jarvis, an AI-powered solution designed to streamline pharmaceutical data analytics. It unifies claims data, leverages AWS-powered AI, and provides actionable insights to improve decision-making, operational efficiency, and patient outcomes in the pharmaceutical industry.🎤 Voices of BI: Lessons from Industry Experts⫸ Your Guide to Tableau Viz Extensions: This article highlights the revolutionary Viz Extensions in Tableau 2024.2, enabling the creation of complex visualizations—like Sankey diagrams, radar charts, and network diagrams—as easily as traditional charts, simplifying advanced analytics and expanding Tableau's capabilities.⫸ Navigating Networks with NetworkX: A Short Guide to Graphs in Python. This article introduces NetworkX, a Python library for building, analyzing, and visualizing networks, showcasing its applications in understanding complex relationships such as social connections or transportation systems through nodes and edges, enriched with attributes and algorithms.⫸ Data Validation with Pandera in Python: This article explores how Pandera, a Python library, streamlines data validation for dataframe-like objects in machine learning and analytics pipelines. It highlights Pandera's efficiency, scalability, and support for libraries like pandas and Dask, emphasizing its custom validations and schema-based approach to ensure data integrity.⫸ Why Most Cross-Validation Visualizations Are Wrong (And How to Fix Them)? This article critiques traditional cross-validation diagrams in data science, highlighting how they confuse the brain by making chunks of data appear as one moving piece. It proposes rethinking visuals to align with natural cognition and inclusivity.⫸ A Practical Framework for Data Analysis: 6 Essential Principles: This article outlines six essential data analysis principles for data scientists, focusing on techniques like establishing baselines, normalizing metrics, MECE grouping, aggregating data, removing irrelevant information, and applying the Pareto principle to extract actionable insights.⫸ What’s new in AlloyDB Omni version 15.7.0: The article highlights the new features in AlloyDB Omni version 15.7.0, including faster performance, an ultra-fast disk cache, an enhanced columnar engine,ScaNN vector indexing, and an updated Kubernetes operator, advancing PostgreSQL workflows across diverse environments.We’ve got more great things coming your way—see you soon!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{font-size:75%;line-height:0} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}} @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }

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0
2187

Merlyn From Packt

12 Nov 2024

NL2SQL with BigQuery and Gemini, Embedding Azure Logic Apps, Data Quality Visualization, Microsoft Fabric + GraphQL, Copilot in Power BI Mobile, Marketing Models in Python

Merlyn From Packt

12 Nov 2024

Real-Time Data with Amazon Kinesis, Cloud Storage Data Discovery with Dataplex, Smoothing Data Spike @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }The top ten nastiest vulnerabilities of Q3Are you exposed? Download the Q3 2024 Vulnerability Watch report to find out. The usual vulns from Microsoft and VMware make the list, but there are some surprises too. Chances are at least one of these vulnerabilities is lurking in your environment.The report outlines exposure risk specifications and offers practical mitigation actions for each CVE included to reduce your cyber risk. Download the report and stay one step ahead of the most-critical exposure risk.Download Now!Sponsored🗞️Welcome to BIPro #83 – Your Weekly Business Intelligence Kickstart! 🚀Get ready to dive into this week's most exciting BI trends, strategies, and tips to drive your data-forward success!📊 Visualize the Future: Trends and Tips◘ Keep It Clean, Keep It Fast: How index management can boost your database speed.◘ PostgreSQL + Docker, Simplified: A step-by-step setup guide.◘ Embedding Azure Logic Apps: Power up your metadata-driven data platforms.◘ What’s Lurking in Your Dev Database? Hint: Production data.◘ NL2SQL with BigQuery and Gemini: Enhancing SQL with natural language.◘ Copilot in Power BI Mobile: New features (Preview).🔄 Transformations in Action: Real-World Success◘ Streaming with Apache Kafka & Zookeeper: Building a robust data flow.◘ Microsoft Fabric + GraphQL: CRUD operations made easy.◘ New DBA Checklist: Getting up to speed with SQL Server.◘ Data Quality Visualization: Power BI tips for data profiling.◘ Cloud Storage Data Discovery with Dataplex: Effortless cataloging.◘ Upsert & Overwrite Made Easy: Streamlining data ingestion.⚡ Quick Wins: Hacks for Instant BI Impact◘ MySQL Admin Tasks on Azure: Essentials for flexible servers.◘ Marketing Models in Python: Tips to calibrate your approach.◘ AdaBoost Classifier: Get to know this popular model.◘ 4 Pillars of a Data Career: What to focus on for growth.◘ Real-Time Data with Amazon Kinesis: Delivering to OpenSearch.◘ SQL to Fabric Migration: Simple steps for a smooth transition.🎤 Voices of BI: Insights from Industry Pros◘ Boosting Performance in PySpark: Optimization techniques.◘ Smoothing Data Spikes in Python: A guide for Raman spectra.◘ Customer Journeys with Deep Learning: Optimizing experiences.◘ Least Squares Regression Explained: The basics and beyond.◘ Big Data Migration by Delhivery: Moving 500TB with Amazon S3.Get ready to level-up your business intelligence game! Happy reading!Calling All Data & BI Enthusiasts!Do you dream of sharing your insights and building your reputation in the Data & BI community? Contribute to our new column in the Packt BIPro newsletter! Share your experiences, discuss new BI tools, or ask questions. Gain recognition among 37,000 BI professionals. Reply with your Google Docs article or use our weekly feedback form. Enjoy a free PDF of "Interactive Data Visualization with Python - Second Edition" for participating. Click reply or share your content today!Share your thoughts and opinions here!Cheers,Merlyn ShelleyEditor-in-Chief, PacktPackt’s Signature Series: New Titles Just Arrived!📚➽Learn Microsoft Fabric: Explore Microsoft Fabric's features through real-world examples to build robust data analytics solutions, including lakehouses and data warehouses. Learn to monitor and manage your analytics system for flexibility, performance, and security, while leveraging AI-driven insights with Copilot integration. Start your free trial for access, renewing at $19.99/month.eBook $24.99 $35.99Print + eBook $44.99➽Microsoft Power BI Cookbook - Third Edition: Dive into Microsoft Data Fabric to enhance data strategies and gain deeper insights. Effortlessly create Hybrid tables and comprehensive scorecards while utilizing new visualization tools that transform complex data into clear, actionable charts and reports for effective decision-making in Power BI. Start your free trial for access, renewing at $19.99/month.eBook $29.99 $43.99Print + eBook $59.99➽Fundamentals of Analytics Engineering: Explore how analytics engineering aligns with your organization's data strategy while gaining insights from seven industry experts. Address common challenges faced by businesses and learn to implement scalable analytics solutions, from data ingestion to visualization, using industry-leading tools. Start your free trial for access, renewing at $19.99/month.eBook $24.99 $35.99Print + eBook $44.99➽Getting Started with DuckDB: Utilize DuckDB to efficiently load, transform, and query diverse data sources and formats. Gain hands-on experience with SQL, Python, and R for data analysis, while exploring how open-source tools and cloud services enhance DuckDB’s versatile capabilities in the data ecosystem. Start your free trial for access, renewing at $19.99/month.eBook $29.99 $43.99Print + eBook $54.99📊 Data Viz Trends Shaping the Future of Insights⫸ A Tidy Database is a Fast Database: Why Index Management Matters: This blog explores common indexing issues in SQL databases that can degrade performance and increase costs. It covers overlooked, duplicate, fragmented, and missing indexes, offering strategies for effective indexing to optimize database efficiency.⫸ Step by step guide to setup PostgreSQL on Docker: This blog offers a step-by-step guide to installing PostgreSQL on a Mac using Docker, covering prerequisites, setup, volume creation, and container management to simplify PostgreSQL learning and development without overloading system resources.⫸ How To Embed Your Azure Logic Apps in a Metadata-driven Data Platform: This article explains how to streamline Azure Logic Apps for bulk data extraction from multiple SharePoint Lists into Azure SQL, using a metadata-driven framework for efficient, parameterized workflows, minimizing repetitive tasks and enhancing productivity.⫸ What's In Your Development Database? The Answer: Production Data. This article discusses how many development teams still use unmasked production data, revealing privacy concerns and challenges. It examines synthetic data and data-sanitization tools, highlighting their trade-offs in creating realistic data distributions, as well as ongoing issues with data masking and management.⫸ NL2SQL with BigQuery and Gemini: This blog explores Natural Language to SQL (NL2SQL), a technology enabling non-technical users to query databases using plain language. It covers NL2SQL’s transformative potential in democratizing data access, real-world challenges in data quality, and best practices for implementing NL2SQL solutions on Google Cloud.⫸ Introducing Copilot in Power BI Mobile Apps (Preview): This blog introduces you to Copilot in Power BI Mobile apps, an AI-powered feature designed to give you instant report summaries and insights. With Copilot, you can quickly access essential data, make informed decisions, and explore interactive visuals effortlessly.🔄 Real-World Transformation: How Gen BI Made Data Work⫸ Build a Streaming Data Architecture with Apache Kafka and Zookeeper: This article addresses the challenge of capturing and migrating massive real-time data efficiently, showcasing a project-based approach using Apache Kafka and Zookeeper. It provides step-by-step guidance for streaming data from producers to Kafka, with consumer scripts sending data to Elasticsearch and Azure Data Lake Gen 2 for analysis.⫸ CRUD Operations in Microsoft Fabric using GraphQL API Mutations: This article explores using Microsoft Fabric’s GraphQL API to not only query but also modify data through mutations, enabling CRUD operations within a Fabric warehouse. It provides a sample table setup, demonstrates creating a GraphQL API, and explains using mutations for data updates.⫸ Preparing a New DBA to Take Over a SQL Server Environment: This article details a DBA’s process for transitioning their SQL Server management role before retirement. It covers documenting key server information, maintenance jobs, and platform-specific notes, as well as conducting a thorough handover with a new DBA through collaborative review sessions, Q&A meetings, and practical issue-handling experiences. Key takeaways emphasize focused knowledge transfer, effective documentation, and sticking to core responsibilities.⫸ Power BI to Visualize and Profile Data for Data Quality: This blog guides readers on using Power BI to visualize SQL Server data profiling results, addressing common data quality issues and enhancing data analysis by making profiling outputs more accessible and interpretable.⫸ Dataplex discovers and catalogs Cloud Storage data: This article introduces Google Cloud’s Dataplex feature for automatic discovery and cataloging of Cloud Storage data. It highlights how Dataplex scans, classifies, and integrates data into BigQuery for enhanced visibility, reduced manual effort, and accelerated AI and analytics workflows.⫸ Simplifying Data Ingestion with Copy Job: Upsert to SQL Database & Overwrite to Fabric Lakehouse: This article introduces Microsoft Fabric's Copy Job, a tool simplifying data ingestion across sources and destinations with customizable options for data movement. It supports incremental upserts for SQL databases and overwrite capabilities for Fabric Lakehouse tables, enabling flexible data syncing.⚡ Quick Wins: BI Hacks for Instant Impact⫸ Azure Database for MySQL Flexible Server Administrative Tasks: This article covers essential backup operations for Azure Database for MySQL flexible servers, explaining automated and on-demand backups, retention settings, encryption, and recovery options to support business continuity and data protection.⫸ Calibrating Marketing Mix Models In Python: This series on marketing mix modeling (MMM) guides readers in mastering MMM with a focus on model training, validation, calibration, and budget optimization using Python’s pymc-marketing package, helping refine marketing strategies and improve ROI.⫸ AdaBoost Classifier: This article introduces AdaBoost, an adaptive machine learning algorithm that iteratively builds simple decision trees, focusing on correcting previous misclassifications. Using the classic golf dataset, it demonstrates how AdaBoost combines weak learners into a powerful classifier for improved accuracy.⫸ The Four Pillars of a Data Career: If you’re an aspiring data professional, this article guides you through four essential skills: Excel for data manipulation, SQL for querying, visualization tools like Tableau or Power BI for insights, and Python or R for scripting—crucial for landing that first analyst role.⫸ Use Amazon Kinesis Data Streams to deliver real-time data to Amazon OpenSearch Service domains with Amazon OpenSearch Ingestion: This article shows you how to use Amazon Kinesis Data Streams to buffer and aggregate real-time data for Amazon OpenSearch Service. It highlights ways to centralize log aggregation for compliance, scalability, and resilience, streamlining real-time analytics with minimal effort.⫸ SQL to Microsoft Fabric Migration: Beginner-Friendly Strategies for a Smooth Transition. This post covers strategies for integrating SQL Server with Microsoft Fabric to enable seamless analytics and reporting in Power BI. It explores migration techniques, such as Notebooks, Pipelines, and Copy Assistant, for flexible, scalable data movement and incremental updates.🎤 Voices of BI: Lessons from Industry Experts⫸ Optimizing the Data Processing Performance in PySpark: This article explores optimizing PySpark performance on Databricks for large-scale data processing, using a retail transaction dataset as a case study. It highlights common bottlenecks and provides strategies for efficient data handling, feature engineering, and workflow tuning.⫸ Removing Spikes from Raman Spectra with Python: A Step-by-Step Guide. This tutorial offers a Python-based approach for removing cosmic ray-induced spikes from Raman spectra, focusing on key steps like peak finding, spike detection, and spectrum correction to improve data accuracy for spectral analysis.⫸ Data-Driven Journey Optimization: Using Deep Learning to Design Customer Journeys: This post explores combining deep learning and optimization to design high-converting customer journeys. Using LSTM models for predictive journey analysis and beam search for sequence optimization, it addresses limitations in traditional marketing attribution by accounting for touchpoint order, timing, and contextual factors.⫸ Least Squares Regression: This article introduces linear regression fundamentals, focusing on Ordinary Least Squares (OLS) and Ridge regression. It explains how Ridge regression improves model stability by addressing feature sensitivity, illustrated through a sample dataset predicting golfer attendance based on weather conditions.⫸ How Delhivery migrated 500 TB of data across AWS Regions using Amazon S3 Replication: This post walks you through how Delhivery, a leading logistics provider in India, successfully migrated over 500 TB of data to meet Indian data residency laws using Amazon S3 Replication and S3 Batch Operations. You’ll discover their strategies, challenges, and approaches, including near real-time replication to keep data synchronized across AWS Regions while ensuring uninterrupted service for their systems.We’ve got more great things coming your way—see you soon!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{font-size:75%;line-height:0} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}} @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }

0
0
6215

Merlyn From Packt

05 Nov 2024

🧼 Data Cleaning with Alteryx, Virtualizing AWS Data Using Fabric Shortcuts, Classify Jira Tickets with GenAI on Amazon Bedrock, Synthetic Data Generation with Gretel and BigQuery DataFrames

Merlyn From Packt

05 Nov 2024

Timescale Brings PostgreSQL into the GenAI Era with pgai Vectorizer, AWS Supply Chain Analytics @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }👋 Hello ,🗞️ Welcome to BIPro #82 – Your Weekly Business Intelligence Boost! 🚀Get ready to supercharge your data-driven journey with this week’s hottest trends, strategies, and insights in the world of business intelligence!📊 Future-Ready Data Visualizations◘ Generative AI: The New Rocket Fuel for Data - Discover how generative AI is transforming data into a powerhouse of insights!◘ Foundations 2024: Boosting Your Data Agility - Get a sneak peek at the BI & Reporting track that will elevate your data game!◘ Mastering SQL Wildcard Searches - Unlock the secrets to optimizing your SQL LIKE queries for better results!◘ NewSQL Systems: Consistency Meets Concurrency - Explore the future of database management with cutting-edge NewSQL solutions.◘ Synthetic Data Simplified with Gretel and BigQuery - Learn how to generate synthetic data seamlessly for robust analytics.🔄 Transformative Insights: Real-World Success Stories◘ Virtualizing AWS Data with Fabric Shortcuts - Streamline your data processes and enhance accessibility with innovative solutions.◘ Timescale & PostgreSQL: Entering the GenAI Era - Unveil the power of pgai Vectorizer in modern data applications.◘ GenAI on Amazon Bedrock: Classifying Jira Tickets - Simplify your project management with intelligent classification techniques.◘ Multimodal AI Search: Revolutionizing Business Applications - Discover how multimodal AI can elevate your search capabilities.◘ October 2024 Google Cloud Database Update - Stay ahead with the latest advancements from Google Cloud.⚡ Quick Wins: BI Hacks for Immediate Impact◘ Demystifying Azure Storage Network Access - Simplify your understanding of Azure storage with practical tips.◘ AI Agents: A New Paradigm in Computer Interaction - Explore the changing landscape of user interaction with AI technologies.◘ Preventing Data Leakage in Preprocessing - Safeguard your data with effective preprocessing strategies.◘ Fabric's October 2024 Monthly Update - Catch up on the latest enhancements and features from Fabric.◘ Empowering Your Data Warehouse with AI Copilot - Discover how AI can streamline your data warehousing efforts.🎤 Voices of BI: Expert Insights◘ Unlocking Supply Chain Data with AWS Analytics - Harness actionable insights to optimize your supply chain performance.◘ Governance Meets AI: Streamlining Analytics - Learn how to integrate Tableau with Amazon DataZone for enhanced analytics.◘ Expanding Data Visualization Options - Amazon DataZone now supports Tableau, Power BI, and more—explore your options!◘ Gaining Insights with AWS DataSync - Utilize AWS Glue, Amazon Athena, and QuickSight for smarter reporting.◘ Data Cleaning Made Easy with Alteryx - Discover the comprehensive tools that transform your data preparation workflows.◘ Maximizing Alteryx Potential - Learn how effective enablement can revolutionize your analytics processes.Get ready to level-up your business intelligence game! Happy reading!Calling All Data & BI Enthusiasts!Do you dream of sharing your insights and building your reputation in the Data & BI community? Contribute to our new column in the Packt BIPro newsletter! Share your experiences, discuss new BI tools, or ask questions. Gain recognition among 37,000 BI professionals. Reply with your Google Docs article or use our weekly feedback form. Enjoy a free PDF of "Interactive Data Visualization with Python - Second Edition" for participating. Click reply or share your content today!Share your thoughts and opinions here!Cheers,Merlyn ShelleyEditor-in-Chief, PacktPackt’s Signature Series: New Titles Just Arrived!📚➽Learn Microsoft Fabric: Explore Microsoft Fabric's features through real-world examples to build robust data analytics solutions, including lakehouses and data warehouses. Learn to monitor and manage your analytics system for flexibility, performance, and security, while leveraging AI-driven insights with Copilot integration. Start your free trial for access, renewing at $19.99/month.eBook $24.99 $35.99Print + eBook $44.99➽Microsoft Power BI Cookbook - Third Edition: Dive into Microsoft Data Fabric to enhance data strategies and gain deeper insights. Effortlessly create Hybrid tables and comprehensive scorecards while utilizing new visualization tools that transform complex data into clear, actionable charts and reports for effective decision-making in Power BI. Start your free trial for access, renewing at $19.99/month.eBook $29.99 $43.99Print + eBook $59.99➽Fundamentals of Analytics Engineering: Explore how analytics engineering aligns with your organization's data strategy while gaining insights from seven industry experts. Address common challenges faced by businesses and learn to implement scalable analytics solutions, from data ingestion to visualization, using industry-leading tools. Start your free trial for access, renewing at $19.99/month.eBook $24.99 $35.99Print + eBook $44.99➽Getting Started with DuckDB: Utilize DuckDB to efficiently load, transform, and query diverse data sources and formats. Gain hands-on experience with SQL, Python, and R for data analysis, while exploring how open-source tools and cloud services enhance DuckDB’s versatile capabilities in the data ecosystem. Start your free trial for access, renewing at $19.99/month.eBook $29.99 $43.99Print + eBook $54.99📊 Data Viz Trends Shaping the Future of Insights⫸If Data is the New Oil, then Generative AI is the New Rocket Fuel: This blog explores the analogy that while data is likened to oil, generative AI (GAI) acts as its rocket fuel, enhancing data's value. It discusses GAI’s transformative impact on industries, accelerating innovation, boosting productivity, and personalizing experiences while addressing ethical considerations.⫸Accelerate Your Data Agility at Foundations 2024: A Sneak Peek of the BI & Reporting Track. This blog highlights the challenges businesses face in meeting data demands for analytics and decision-making. It introduces Foundations 2024, featuring a dedicated Business Intelligence & Reporting track aimed at enhancing data access. Sessions from industry experts will showcase real-time analytics, empowering organizations, and streamlining financial reporting. ⫸Optimize SQL LIKE Wildcard Searches: This blog explores optimizing SQL LIKE wildcard searches in Microsoft SQL Server. It demonstrates using binary collation and the LOWER() function to significantly enhance performance, reducing query execution time from 17 seconds to 2 seconds.⫸Consistency and Concurrency in NewSQL Database Systems: This blog discusses the emergence of NewSQL databases, designed to efficiently handle large data volumes and transactions while maintaining the reliability of traditional SQL. It highlights their scalability, adherence to ACID properties, and challenges related to consistency in distributed systems.⫸Synthetic data generation with Gretel and BigQuery DataFrames: This blog guides readers through integrating Gretel with BigQuery DataFrames to generate synthetic data while ensuring privacy compliance. It details the installation process, de-identification of patient records, and synthetic data generation, emphasizing the importance of data quality and privacy in AI/ML innovation.🔄 Real-World Transformation: How Gen BI Made Data Work⫸Virtualizing AWS data by using Fabric Shortcuts: Data Engineering with Fabric. This blog discusses the integration of AWS S3 buckets with Microsoft Fabric to create a virtualized data lake, addressing challenges in data management caused by mergers and acquisitions. It explains how to utilize Microsoft Fabric shortcuts for efficient data linking, detailing the process of setting up an AWS trial account and managing data access. The goal is to empower big data engineers to effectively leverage AWS as a source within their Microsoft Fabric Lakehouse design.⫸Timescale Brings PostgreSQL into the GenAI Era with pgai Vectorizer: This blog announces Timescale's launch of pgai Vectorizer, an open-source tool that integrates AI capabilities into PostgreSQL. It enables developers to create advanced AI applications without external tools, reducing infrastructure costs by 75% while streamlining workflows and enhancing efficiency.⫸Classify Jira Tickets with GenAI On Amazon Bedrock: This blog explores setting up a Jira ticket classification system using large language models on Amazon Bedrock, highlighting the advantages of generative AI over traditional machine learning methods. It simplifies text classification, reducing the need for extensive labeled data and complex ML pipelines. The post details the architecture and implementation steps, enabling organizations to gain better insights into team activities for improved resource allocation and decision-making.⫸Multimodal AI Search for Business Applications: This blog discusses the importance of semantic search for multimodal business documents that contain text and visual content. It explores how embedding models can enhance search capabilities, improving information retrieval and decision-making within organizations.⫸Google Cloud database news for October 2024: This blog summarizes October's key updates in Google Cloud databases, highlighting new features in Database Center, ScaNN index for AlloyDB, Firebase Data Connect, and support for PostgreSQL 17 in Cloud SQL, enhancing data management and application development.⚡ Quick Wins: BI Hacks for Instant Impact⫸Demystifying Azure Storage Account Network Access: This blog examines the significance of storage accounts in enterprise data lakes, focusing on network access control for sensitive data. It details service and private endpoints, emphasizing security measures for data science and machine learning operations.⫸Computer Use and AI Agents: A New Paradigm for Screen Interaction. This blog analyzes recent developments in AI agents from Anthropic, Microsoft, and Apple, highlighting the shift from text-based to multimodal agents. It discusses the capabilities, challenges, and risks associated with advanced AI agents like Anthropic’s Claude 3.5 Sonnet.⫸Data Leakage in Preprocessing: This blog addresses the issue of data leakage in machine learning, explaining how it occurs when test data unintentionally influences training data during preprocessing. It focuses on common steps like missing value imputation, illustrating how improper methods can lead to misleading model performance.⫸Fabric October 2024 Monthly Update: This blog provides the October 2024 update for Microsoft Fabric, highlighting new features such as GraphQL support, enhanced sorting and filtering capabilities, and a new certification for data engineers. It also promotes free exam vouchers and an AI learning hackathon.⫸Data Warehouse: Copilot & AI Skill: This blog discusses how AI is revolutionizing data warehousing through Microsoft Fabric's tools: Copilot for Data Warehouse and AI Skill. It outlines their functionalities, differences, and complementary uses to enhance productivity and simplify data access for users.🎤 Voices of BI: Lessons from Industry Experts⫸Unlock the potential of your supply chain data and gain actionable insights with AWS Supply Chain Analytics: This blog announces the general availability of AWS Supply Chain Analytics, integrated with Amazon QuickSight, enabling users to create custom dashboards and reports from AWS Supply Chain data. It highlights features like prebuilt dashboards for demand analysis and seasonality trends.⫸Streamline AI-driven analytics with governance: Integrating Tableau with Amazon DataZone: This blog introduces Amazon DataZone's enhanced data analysis and visualization capabilities through the Amazon Athena JDBC driver. It emphasizes seamless integration with popular BI tools like Tableau, allowing users to query and visualize governed data efficiently, thereby improving data accessibility and governance across platforms.⫸Expanding data analysis and visualization options: Amazon DataZone now integrates with Tableau, Power BI, and more. This blog introduces Amazon DataZone's JDBC driver integration, enabling seamless querying of governed data through popular BI tools like Tableau and Power BI, enhancing data access and governance while empowering teams to analyze data efficiently.⫸Derive insights from AWS DataSync task reports using AWS Glue, Amazon Athena, and Amazon QuickSight: This blog introduces AWS DataSync's task reports feature, which provides detailed transfer reports for data migrations. It outlines how to use AWS Glue, Amazon Athena, and Amazon QuickSight to catalog, query, and visualize task report data for effective tracking and auditing.⫸How to Data Cleaning with Alteryx - A Comprehensive Data Preparation Platform: This blog emphasizes the importance of data cleaning for accurate analysis and decision-making. It introduces Alteryx as a powerful tool for data preparation, detailing its features, functionalities, and best practices to effectively cleanse and prepare data.⫸Unlocking the Potential of Alteryx: How Proper Enablement Can Transform Your Analytics Workflow. This blog discusses the importance of proper enablement for using Alteryx effectively, detailing how training and resources can enhance analytics workflows. It offers tips for creating an enablement program and highlights the benefits of investing in data-driven decision-making.We’ve got more great things coming your way—see you soon!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{font-size:75%;line-height:0} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}} @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }

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0
7578

Merlyn From Packt

29 Oct 2024

AI-driven BigQuery Data Preparation, GoDaddy’s BI Success, Oversampling and Undersampling, Cost Threshold for Parallelism for Small SQL Queries, STORM AI Research System

Merlyn From Packt

29 Oct 2024

Design Data Warehouse with Medallion Architecture in Microsoft Fabric, Change Advisory Boards (CAB) @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }👋 Hello ,🌟 Welcome to BIPro #81 – Your Weekly BI Power-Up! 🚀Here's your curated roundup of must-know insights, strategies, and tools shaping business intelligence today. Let's dive in!🚨 Packt Conference Alert! 🚨Stay at the forefront of AI innovation! 🚀 Join us for 3 action-packed days of LIVE sessions with 20+ top experts and unleash the full power of Generative AI at our upcoming conference. Don’t miss out - Claim your spot today!🚀 Data Trends Driving the Future✦ Python Typer in Minutes: Create quick, efficient CLIs with Python Typer.✦ Interactive Apps, Simplified: Build dynamic data science apps with Python.✦ Scaling AI for Success: Top ways to supercharge your data initiatives.✦ Optimize SQL Performance: Save costs on small SQL queries with smart parallelism.🌐 Data-Driven Transformation✦ Privacy’s Limit: Why data minimization isn’t a silver bullet for privacy.✦ Cracking AI Logic: Exploring limitations in AI’s math reasoning.✦ The ChatGPT Conundrum: Why AI adoption lags in everyday work.✦ Sampling Simplified: A visual take on oversampling vs. undersampling.✦ New Power BI Features: Highlights from the October 2024 update.⚡ Quick Wins: BI Hacks for Instant Gains✦ AI Workflows Decoded: Choose between LangGraph and LangChain.✦ BigQuery Made Easy: AI-driven data prep now live!✦ Unity’s Ad Surge: 10M operations/second, powered by Memorystore.✦ No-Code ML with SageMaker Canvas: Import data directly from BigQuery.✦ GoDaddy’s BI Success: Cutting analytics time from weeks to minutes.🎤 BI Wisdom from Industry Leaders✦ CAB Simplified: Smart strategies for Change Management.✦ Medallion Architecture: A powerful approach to data warehouse design.✦ Unlocking GraphQL API: Strengthen relationships with Microsoft Fabric.✦ AI Research with Local Data: Running the STORM system with ease.✦ Free Native Execution: Boost performance without the cost!Get ready to level-up your business intelligence game! Happy reading!Calling All Data & BI Enthusiasts!Do you dream of sharing your insights and building your reputation in the Data & BI community? Contribute to our new column in the Packt BIPro newsletter! Share your experiences, discuss new BI tools, or ask questions. Gain recognition among 37,000 BI professionals. Reply with your Google Docs article or use our weekly feedback form. Enjoy a free PDF of "Interactive Data Visualization with Python - Second Edition" for participating. Click reply or share your content today!Share your thoughts and opinions here!Cheers,Merlyn ShelleyEditor-in-Chief, PacktPackt’s Signature Series: New Titles Just Arrived!📚➽Learn Microsoft Fabric: Explore Microsoft Fabric's features through real-world examples to build robust data analytics solutions, including lakehouses and data warehouses. Learn to monitor and manage your analytics system for flexibility, performance, and security, while leveraging AI-driven insights with Copilot integration. Start your free trial for access, renewing at $19.99/month.eBook $24.99 $35.99Print + eBook $30.99 $44.99➽Microsoft Power BI Cookbook - Third Edition: Dive into Microsoft Data Fabric to enhance data strategies and gain deeper insights. Effortlessly create Hybrid tables and comprehensive scorecards while utilizing new visualization tools that transform complex data into clear, actionable charts and reports for effective decision-making in Power BI. Start your free trial for access, renewing at $19.99/month.eBook $29.99 $43.99Print + eBook $41.98 $59.99➽Fundamentals of Analytics Engineering: Explore how analytics engineering aligns with your organization's data strategy while gaining insights from seven industry experts. Address common challenges faced by businesses and learn to implement scalable analytics solutions, from data ingestion to visualization, using industry-leading tools. Start your free trial for access, renewing at $19.99/month.eBook $24.99 $35.99Print + eBook $44.99➽Getting Started with DuckDB: Utilize DuckDB to efficiently load, transform, and query diverse data sources and formats. Gain hands-on experience with SQL, Python, and R for data analysis, while exploring how open-source tools and cloud services enhance DuckDB’s versatile capabilities in the data ecosystem. Start your free trial for access, renewing at $19.99/month.eBook $29.99 $43.99Print + eBook $54.99📊 Data Viz Trends Shaping the Future of Insights➽ Python Typer Tutorial: Build CLIs with Python in Minutes. This blog is a quick-start guide to building Command Line Interfaces (CLIs) with Python using Typer. It covers setting up Typer, creating commands, and managing inputs for tasks, time, and priorities, all through a hands-on example of a schedule tracker CLI. Perfect for beginners!➽ Building Interactive Data Science Applications with Python: This blog is a guide to building interactive data science apps in Python. It introduces libraries like Streamlit, Gradio, Dash, and Panel, showcasing each one’s strengths in adding user inputs, feedback, and multimedia features to create engaging, data-driven applications with minimal coding.➽ Limit Cost Threshold for Parallelism for Small SQL Queries: This article explores the impact of increasing SQL Server's Cost Threshold for Parallelism (CTFP) from the default setting of 5 to 35. It details CTFP's role in query parallelism, guides you through changing it, and demonstrates performance benefits for smaller queries by reducing unnecessary parallelism.🔄 Real-World Transformation: How Gen BI Made Data Work➽ Data Minimization Does Not Guarantee Privacy: This article reviews the data minimization principle in machine learning, highlighting its focus on collecting only essential data to limit privacy risks. It discusses regulatory expectations, such as purpose limitation and data relevance, and emphasizes the gap between minimizing data and achieving privacy, noting that reduced data can still allow reconstruction and re-identification.➽ GSM-Symbolic: Analyzing LLM Limitations in Mathematical Reasoning and Potential Solutions. This article reviews the paper GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models, which critiques large language models' (LLMs) mathematical reasoning capabilities. Through the GSM-Symbolic benchmark, it highlights LLMs’ performance variability, sensitivity to minor changes, and limitations in logical reasoning. The findings advocate for synthetic datasets to improve model robustness and accuracy.➽ The AI Productivity Paradox: Why Aren’t More Workers Using ChatGPT? This article argues that the slow adoption of AI tools like ChatGPT in workplaces stems from organizational culture rather than technical complexity. It highlights the need for leadership to prioritize deep, exploratory work over short-term deliverables, allowing employees to discover AI's value in meaningful, tailored ways, rather than just sticking to basic tasks.➽ Oversampling and Undersampling, Explained: A Visual Guide with Mini 2D Dataset. This article explains essential data preprocessing techniques, focusing on balancing datasets for machine learning models. It covers oversampling and undersampling methods like Random Oversampling, SMOTE, ADASYN, Random Undersampling, and Tomek Links, each suited to different dataset needs. Visual examples highlight how these techniques impact data, offering insights into choosing the right method for your ML project.➽ Power BI October 2024 Feature Summary: This month’s Power BI update enhances reporting with Copilot’s improved contextual features, supports visual calculations in combo charts, and introduces new visualizations like Date Picker. Microsoft Fabric Copilot replaces quick measure suggestions, supporting natural language DAX queries.⚡ Quick Wins: BI Hacks for Instant Impact➽ AI Agent Workflows: A Complete Guide on Whether to Build With LangGraph or LangChain. This article compares LangChain and LangGraph for building Agentic AI applications, focusing on their workflows and tool orchestration. LangChain offers simpler chain-based structures and built-in memory, ideal for straightforward cases. In contrast, LangGraph supports complex, conditional workflows with graph-based flexibility, ideal for intricate logic and control.➽ Introducing AI-driven BigQuery data preparation: BigQuery’s new data preparation tool, powered by Gemini AI, automates data cleaning, transformation, and pipeline orchestration, reducing time spent on data prep by suggesting intelligent transformations. With a low-code, visual interface, it empowers users to improve data quality for advanced analytics seamlessly across Google Cloud’s ecosystem.➽ Unity Ads powers up to 10M operations per second with Memorystore: Unity Ads manages over 1 million Redis operations per second, leveraging Google Cloud’s Memorystore for Redis Cluster for scalable, low-latency performance. This transition from DIY Redis setups to Memorystore improved stability, eliminated downtime during scaling, and reduced infrastructure management overhead, streamlining operations under demanding ad workloads.➽ Import data from Google Cloud Platform BigQuery for no-code machine learning with Amazon SageMaker Canvas: This article presents a solution to integrate data from Google Cloud's BigQuery into Amazon SageMaker Canvas using AWS Athena Federated Query, enabling no-code ML model building without moving data. The approach leverages Athena’s Google BigQuery connector and AWS Secrets Manager for secure, scalable access, providing a streamlined, cross-cloud data preparation and ML workflow.➽ GoDaddy uses Amazon QuickSight and Amazon Q to compress business intelligence analytics from weeks to minutes: This blog shares how GoDaddy is using Amazon QuickSight to streamline data analytics and insights, moving from manual, dashboard-focused processes to AI-powered, self-service analytics. With QuickSight’s natural language and Generative BI capabilities, GoDaddy has empowered business analysts, improved data governance, and accelerated data-driven decision-making across the organization.🎤 Voices of BI: Lessons from Industry Experts➽ Change Advisory Boards (CAB) for Change Management: This blog explains Change Advisory Board (CAB) meetings in Change Management, highlighting their purpose in reviewing, approving, and scheduling production changes within IT environments. It also covers Emergency CAB (ECAB) meetings for urgent changes, detailing the role of stakeholders, project managers, and the importance of communication for successful implementations.➽ Design Data Warehouse with Medallion Architecture in Microsoft Fabric: This blog outlines how to design a data warehouse using the Medallion Architecture in Microsoft Fabric. By organizing data into bronze, silver, and gold layers, the approach enables efficient data processing from raw ingestion to curated insights, supporting analytics and BI needs in a structured, scalable environment.➽ Relationships with Microsoft Fabric GraphQL API: This blog discusses using Microsoft Fabric’s GraphQL API to join data across tables in a data warehouse modeled in a star schema. It explains setting up relationships between tables within the GraphQL schema, enabling users to query multiple tables together for enhanced reporting, while highlighting some limitations in querying large datasets.➽ Running the STORM AI Research System with Your Local Documents: This blog explores STORM, an LLM-driven research tool by Stanford that simulates multi-perspective conversations to tackle complex research tasks. Designed for generating Wikipedia-style articles, STORM now supports local datasets, enabling organizations to leverage internal documents, like FEMA resources, for AI-supported research.➽ Native Execution Engine available at no additional cost! This blog introduces the Native Execution Engine, now available at no extra cost, enhancing performance in Microsoft Fabric’s Data Engineering and Data Science workflows. With easy activation and full Apache Spark API compatibility, it boosts efficiency for complex workloads like Parquet and Delta transformations, offering significant speed improvements.We’ve got more great things coming your way—see you soon!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{font-size:75%;line-height:0} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}} @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }

0
0
5311

Merlyn From Packt

22 Oct 2024

Tableau’s VizQL Data Service, SQL with Pipe Syntax in BigQuery and Cloud Logging, Melissa Data Marketplace, Optimizing Spark Compute for Medallion Architectures in Microsoft Fabric

Merlyn From Packt

22 Oct 2024

How Generative AI and Governance Help Scale Enterprise Analytics, Automating BI @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }👋 Hello ,🦋 Welcome to BIPro #80 – Your Weekly Business Intelligence Boost! 🚀Discover this week’s top BI trends, strategies, and insights to elevate your data-driven success!🚨 Packt Conference Alert! 🚨Stay at the forefront of AI innovation! 🚀 Join us for 3 action-packed days of LIVE sessions with 20+ top experts and unleash the full power of Generative AI at our upcoming conference. Don’t miss out - Claim your spot today!📊 Future-Ready Insights: Data Viz Trends✦ Handling Missing Data in R✦ Data Lakes: Zones and Containers Planning✦ Optimize Spark Compute in Microsoft Fabric✦ Explore Pandas in Python🔄 Transformative Insights: Data in Action✦ Actionable Data Insights for Decision-Making✦ Web Scraping with Python: Scrapy Framework✦ Utilizing VizQL Data Service in Tableau✦ Enhanced Tenant Delegation in Microsoft Fabric⚡ Quick Wins: BI Hacks✦ Visualize Data with Pie Charts in Matplotlib✦ Competitive Edge with AI Strategies✦ Google’s New Generative AI Learning Paths✦ Simplify SQL with Pipe Syntax in BigQuery✦ Shopify’s ML Enhancements for Search Intent🎤 Voices of BI: Expert Insights✦ Fairness in ChatGPT✦ Scaling Analytics: Generative AI and Governance✦ Automating BI: Overcoming Bottlenecks✦ Data Sharing Patterns on AWSGet ready to level-up your business intelligence game! Happy reading!Calling All Data & BI Enthusiasts!Do you dream of sharing your insights and building your reputation in the Data & BI community? Contribute to our new column in the Packt BIPro newsletter! Share your experiences, discuss new BI tools, or ask questions. Gain recognition among 37,000 BI professionals. Reply with your Google Docs article or use our weekly feedback form. Enjoy a free PDF of "Interactive Data Visualization with Python - Second Edition" for participating. Click reply or share your content today!Share your thoughts and opinions here!Cheers,Merlyn ShelleyEditor-in-Chief, PacktPackt’s Signature Series: New Titles Just Arrived!📚➽Learn Microsoft Fabric: Explore Microsoft Fabric's features through real-world examples to build robust data analytics solutions, including lakehouses and data warehouses. Learn to monitor and manage your analytics system for flexibility, performance, and security, while leveraging AI-driven insights with Copilot integration. Start your free trial for access, renewing at $19.99/month.eBook $24.99 $35.99Print + eBook $30.99 $44.99➽Microsoft Power BI Cookbook - Third Edition: Dive into Microsoft Data Fabric to enhance data strategies and gain deeper insights. Effortlessly create Hybrid tables and comprehensive scorecards while utilizing new visualization tools that transform complex data into clear, actionable charts and reports for effective decision-making in Power BI. Start your free trial for access, renewing at $19.99/month.eBook $29.99 $43.99Print + eBook $41.98 $59.99➽Fundamentals of Analytics Engineering: Explore how analytics engineering aligns with your organization's data strategy while gaining insights from seven industry experts. Address common challenges faced by businesses and learn to implement scalable analytics solutions, from data ingestion to visualization, using industry-leading tools. Start your free trial for access, renewing at $19.99/month.eBook $24.99 $35.99Print + eBook $44.99➽Getting Started with DuckDB: Utilize DuckDB to efficiently load, transform, and query diverse data sources and formats. Gain hands-on experience with SQL, Python, and R for data analysis, while exploring how open-source tools and cloud services enhance DuckDB’s versatile capabilities in the data ecosystem. Start your free trial for access, renewing at $19.99/month.eBook $29.99 $43.99Print + eBook $54.99📊 Data Viz Trends Shaping the Future of Insights➽ How to Handle Missing Data in R? This blog explains handling missing data in R, covering data loading, identifying missing values with functions like is.na() and summary(), removing them using na.omit(), and applying imputation methods such as mean, KNN, and multiple imputation for accurate analysis.➽ Data Lake implementation – Data Lake Zones and Containers Planning: This blog discusses Azure Data Lake implementation, focusing on data lake zones, storage accounts, and container planning. It covers raw, enriched, and development data layers, governance, security, and the medallion architecture for effective data organization.➽ Optimizing Spark Compute for Medallion Architectures in Microsoft Fabric: This blog offers guidance on optimizing data engineering workloads using the Medallion architecture, detailing tailored compute configurations for Bronze, Silver, and Gold layers to enhance performance, efficiency, and data accessibility across large-scale datasets.➽ Explore Pandas in Python to Analyze and Manipulate Tabular Data: This blog introduces Pandas, an open-source Python library for data manipulation and analysis. It highlights its key features, installation process, and demonstrates usage through Pandas Series and DataFrames for various data operations and arithmetic calculations.🔄 Real-World Transformation: How Gen BI Made Data Work➽ Enabling Critical Decision-Making with Valuable Data Insights: This blog addresses the challenge of finding quality data for decision-making and introduces the Melissa Data Marketplace, offering accurate, industry-specific data products. It highlights accessibility options and use cases in real estate and healthcare for enhanced data quality.➽ Web Scraping with Python Scrapy Framework: This blog discusses the challenges of manual data collection and introduces web scraping as an efficient solution for automated data extraction. It highlights the Scrapy Python framework, emphasizing its capabilities for structured data gathering and analysis.➽ How to Use VizQL Data Service in Your Tableau Cloud Site? This blog announces the expansion of the VizQL Data Service Developer Preview to all Tableau Cloud customers, highlighting new API Access permissions for enhanced data control, and introducing a Postman Collection for easier API interaction and testing.➽ Announcing the Enhanced Tenant Setting Delegation for Export Controls in Microsoft Fabric: This highlights an enhancement to Microsoft Fabric's Tenant Setting Delegation feature, enabling granular control over data export permissions at the workspace level. It improves security, management, and flexibility for workspace administrators while reducing the burden on tenant admins.⚡ Quick Wins: BI Hacks for Instant Impact➽ Visualization of Data with Pie Charts in Matplotlib: This article explores creating four types of pie charts using a dataset from my Master's Thesis on NIH-funded heart disease research. It emphasizes effective visualization of categorical data with Matplotlib, highlighting insights into gender representation in publications.➽ Carving Out Your Competitive Advantage with AI: This blog discusses how companies can achieve a competitive advantage with AI despite the technology becoming commonplace. It emphasizes creativity in AI applications, the importance of tailored strategies, and the integration of unique datasets and domain expertise.➽ Four new Google’s Gen AI learning paths on offer: This blog addresses the skills gap in AI readiness among organizations and introduces Google Cloud's new generative AI learning paths. These courses aim to equip developers with practical skills to leverage AI effectively, enhancing productivity and career opportunities.➽ Simplify your SQL with pipe syntax in BigQuery and Cloud Logging: This blog introduces SQL pipe syntax, an innovative extension of standard SQL that enhances simplicity and flexibility. It allows for easier data analysis by enabling sequential operator application, improving readability and productivity for users.➽ How Shopify improved consumer search intent with real-time ML? This blog outlines Shopify's integration of AI-powered search capabilities into merchant storefronts, enhancing the shopping experience through Semantic Search and real-time embeddings. This system boosts sales by improving product relevance and search accuracy.🎤 Voices of BI: Lessons from Industry Experts➽ Evaluating fairness in ChatGPT: This blog discusses the careful design of training processes for language models like ChatGPT to minimize harmful outputs and biases. It explores how cues, such as users' names, can influence responses and impact first-person fairness.➽ How Generative AI and Governance Help Scale Enterprise Analytics? This blog summarizes Alteryx's announcements from recent Inspire user conferences, highlighting advancements in Generative AI, the introduction of Alteryx Marketplace, and enhancements to Alteryx Designer and Server, focusing on improved data-driven decision-making and enterprise connectivity.➽ Automating BI: Breaking Down Bottlenecks with Artificial Intelligence: This blog addresses time-to-value challenges in analytics, highlighting IDC research on data decay and underutilization. It emphasizes the need for automation and generative AI to alleviate bottlenecks in the analytics process, enhancing decision-making efficiency.➽ Demystify data sharing and collaboration patterns on AWS: Choosing the right tool for the job. This blog discusses the importance of treating data as a product to overcome challenges like data silos and governance issues. It highlights the benefits of data lakes and the data mesh framework, emphasizing the roles of various personas and AWS services like AWS Glue, AWS Data Exchange, and AWS Clean Rooms for effective data sharing and collaboration.We’ve got more great things coming your way—see you soon!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{line-height:0;font-size:75%} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}} @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }

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0
5541

Merlyn From Packt

16 Oct 2024

100x Faster Queries in BigQuery, Tableau + dbt Labs, Tableau Cloud Manager, Shopify’s AI Search Boost, Reltio's Transformation, Real-Time Analytics with BigQuery & Bigtable

Merlyn From Packt

16 Oct 2024

Audit Your SQL Server Like a Pro, Avoid Bias in Marketing Mix Models, Toyota’s AWS Migration Story @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }Looking to build, train, deploy, or implement Generative AI?Meet Innodata — offering high-quality solutions for developing and implementing industry-leading generative AI, including:➤ Diverse Golden Datasets➤ Supervised Fine-Tuning Data➤ Human Preference Optimization (e.g. RLHF)➤ RAG Development ➤ Model Safety, Evaluation, & Red Teaming ➤ Data Collection, Creation, & Annotation ➤ Prompt Engineering With 5,000+ in-house SMEs and expansion and localization supported across 85+ languages, Innodata drives AI initiatives for enterprises globally.Learn More!Sponsored🦋 Welcome to BIPro #79 – Your Weekly Business Intelligence Boost! 🚀Surprised to see us on a Wednesday? We’re testing the best day to deliver your weekly dose of Data Analytics & BI insights! With fresh strategies, tools, and insights, this newsletter will elevate your BI game. Ready to dive in? Let’s go!🚨 Packt Conference Alert! 🚨Stay at the forefront of AI innovation! 🚀 Join us for 3 action-packed days of LIVE sessions with 20+ top experts and unleash the full power of Generative AI at our upcoming conference. Don’t miss out - Claim your spot today!📊 Top Data Trends Shaping the Future✦ Master Pandas in Python: Learn how to analyze and manipulate tabular data effortlessly.✦ Audit Your SQL Server Like a Pro: Discover best practices for monitoring extended stored procedures.✦ PostgreSQL Secrets: Understand the power of VACUUM, AUTOVACUUM, and ANALYZE for efficient data management.✦ Avoid Bias in Marketing Mix Models: Learn how to ensure accurate channel estimates.✦ Dataflow Magic: Unlock insights with derived data views and consistency models.🔄 Real-World Transformations: How Leaders Make Data Work✦ Crack the LLM Code: Dive into the math behind word embeddings.✦ Measure AI Success: Key metrics to track AI adoption and impact.✦ What’s New in Tableau Cloud Manager? Discover features that simplify cloud analytics.✦ Tableau + dbt Labs: How their new partnership is transforming data workflows.✦ Power BI October 2024 Updates: Explore the latest features for better BI reporting.⚡ Quick Wins: BI Hacks for Instant Impact✦ Real-Time Analytics with BigQuery & Bigtable: Build faster data platforms with ease.✦ FastAPI for Beginners: Kickstart your API journey with this simple guide.✦ Smart Stats: 5 innovative statistical methods for small datasets.✦ Shopify’s AI Search Boost: Learn how Shopify improved customer search with real-time ML.✦ 100x Faster Queries in BigQuery: History-based optimizations for lightning-fast performance.✦ Reltio's Transformation: How they scaled data management with Spanner on Google Cloud.🎤 Voices of BI: Insights from Industry Leaders✦ Azure Savings Hack: Use Logic Apps to slash costs.✦ Meet Database Center: AI-powered fleet management for seamless operations.✦ Toyota’s AWS Migration Story: How they achieved zero downtime with Safety Connect.✦ Boost SQL Accuracy with AI: Enrich metadata for perfect text-to-SQL generation.Get ready to boost your business intelligence game! Happy reading!Notion for StartupsThousands of startups use Notion as a connected workspace to create and share docs, take notes, manage projects, and organize knowledge—all in one place.We’re offering 6 months of new Plus plans, including unlimited Notion AI so you can try it all for free!Redemption InstructionsTo redeem the Notion for Startups offer:1. Submit an application using our custom link:https://ntn.so/packtand selectPackton the partner list.2. Include our partner key,STARTUP4110P19151.Free 6-Month Notion Plus Access! 🚀 Use Our Packt Partner Key!SponsoredCalling All Data & BI Enthusiasts!Do you dream of sharing your insights and building your reputation in the Data & BI community? Contribute to our new column in the Packt BIPro newsletter! Share your experiences, discuss new BI tools, or ask questions. Gain recognition among 37,000 BI professionals. Reply with your Google Docs article or use our weekly feedback form. Enjoy a free PDF of "Interactive Data Visualization with Python - Second Edition" for participating. Click reply or share your content today!Share your thoughts and opinions here!Cheers,Merlyn ShelleyEditor-in-Chief, PacktPackt’s Signature Series: New Titles Just Arrived!📚➽ AI-Assisted Programming for Web and Machine Learning: Unlock the power of AI-assisted programming to streamline web development and machine learning. Learn to enhance frontend and backend coding, optimize ML models, and automate tasks using GitHub Copilot and ChatGPT. Perfect for boosting productivity and refining workflows. Start your free trial for access, renewing at $19.99/month.eBook $18.99 $38.99Print + eBook $32.99 $47.99➽ Machine Learning and Generative AI for Marketing: Leverage AI and Python to revolutionize your marketing strategies with predictive analytics and personalized content creation. Learn to combine advanced segmentation techniques and generative AI to boost customer engagement while ensuring ethical AI practices. Perfect for driving real business growth. Start your free trial for access, renewing at $19.99/month.eBook $19.99 $39.99Print + eBook $34.98 $49.99➽ Amazon DynamoDB - The Definitive Guide: Master Amazon DynamoDB with this comprehensive guide, learning key-value data modeling, optimized strategies for transitioning from RDBMS, and efficient read consistency. Discover advanced techniques like caching and analytics integration with AWS services to boost performance, while minimizing latency and costs. Start your free trial for access, renewing at $19.99/month.eBook $17.99 $35.99Print + eBook $30.99 $44.99➽ Microsoft Power BI Performance Best Practices - Second Edition: Master Power BI performance optimization with this guide, learning to build efficient data models, apply row-level security, and troubleshoot issues using DAX Studio and VertiPaq Analyzer. Implement formal performance management strategies to ensure scalable, high-performing solutions. Start your free trial for access, renewing at $19.99/month.eBook $19.99 $39.99Print + eBook $34.98 $49.99📊 Data Viz Trends Shaping the Future of Insights➽ Explore Pandas in Python to Analyze and Manipulate Tabular Data: This blog introduces the Pandas library in Python, highlighting its importance for data manipulation, analysis, and visualization. It discusses key features such as handling various data formats, data cleansing, integration with other Python libraries, and includes practical examples like creating series and performing arithmetic operations.➽ Audit SQL Server Extended Stored Procedures Usage: This is about enhancing SQL Server security monitoring, focusing on tracking sensitive system stored procedures that can be exploited with elevated permissions. The core concepts include auditing SYSADMIN role usage, monitoring extended stored procedures, and integrating with SIEM solutions for threat detection and forensic analysis.➽ PostgreSQL VACUUM, AUTOVACUUM, and ANALYZE Processes for Deleted Data: This blog is about how PostgreSQL manages deletes and concurrency using Multi-Version Concurrency Control (MVCC). It explores key concepts like the VACUUM and AUTOVACUUM processes, which reclaim space from obsolete rows, and how to optimize these for performance.➽ Marketing Mix Modeling (MMM): How to Avoid Biased Channel Estimates? This article discusses how a Marketing-Mix-Model (MMM) helps determine the sales impact of investments in different marketing channels. The core idea is that selecting the right variables is critical, as including or omitting certain variables can lead to biased estimates, resulting in poor marketing decisions and financial losses.➽ Dataflow Architecture—Derived Data Views and Eventual Consistency: This article explores the evolution of SmartGym's data pipeline, transitioning from a request-driven to an event-driven architecture. It discusses how this change enabled real-time processing of gym equipment data, enhancing personalized and collective fitness experiences across multiple system versions.🔄 Real-World Transformation: How Gen BI Made Data Work➽ The Key to LLMs: A Mathematical Understanding of Word Embeddings: This article explores how computers can process and understand text data using word embeddings, specifically through Word2Vec. Word embeddings convert words into numerical vectors, capturing their meanings and relationships in context. The article explains how Word2Vec's neural network architecture refines these representations for tasks like text classification and clustering.➽ Measuring AI Adoption and Impact: This article explores how to measure the adoption and impact of AI systems, focusing on key metrics like user adoption, time and cost savings, ROI, training effectiveness, and error reduction. These help ensure successful AI implementation and business value.➽ What is Tableau Cloud Manager? This article introduces Tableau Cloud Manager, an enhancement to Tableau Cloud that allows organizations to manage multiple sites with centralized administration. It improves flexibility, governance, and scalability, making cloud-based analytics more efficient for global and complex deployments.➽ Tableau and dbt Labs: Strategic Partnership and Integration. This article announces a new integration between Tableau and dbt, aimed at enhancing trust, governance, and collaboration in data-driven decision-making. It introduces features like seamless model export, data health checks, and integration with Tableau Pulse, improving data accuracy and efficiency for users.➽ Power BI October 2024 Feature Summary: This October 2024 update highlights key enhancements in Power BI, including the transition from Copilot's quick measure suggestions to Microsoft Fabric Copilot, Azure Map updates, a preview of the New List Slicer, and improvements in AI-driven report creation and visualization tools.➽ Live edit of Direct Lake models in Power BI Desktop: This update introduces live editing of Power BI semantic models in Direct Lake mode, enabling seamless, real-time modifications via Power BI Desktop. It enhances data modeling efficiency and supports export to Power BI Project for professional development workflows with Git integration.⚡ Quick Wins: BI Hacks for Instant Impact➽ Building a real-time analytics platform using BigQuery and Bigtable: This blog discusses the integration of BigQuery and Bigtable through the EXPORT DATA to Bigtable feature, enabling real-time data serving with low latency. It enhances operational systems by bridging analytics and large-scale, high-performance applications, facilitating faster data-driven decisions.➽ Beginner’s Guide to FastAPI: This beginner's guide to FastAPI introduces the Python web framework for building RESTful APIs. It highlights key features like high performance, asynchronous capabilities, and ease of use. The guide covers installation, basic application development, and creating CRUD operations.➽ 5 Innovative Statistical Methods for Small Data Sets: This article highlights five innovative statistical methods suitable for small data sets, including Bootstrap, Bayesian Estimation, Permutation Tests, Jackknife Resampling, and the Sign Test. These methods help data scientists derive insights when traditional approaches may not apply.➽ How Shopify improved consumer search intent with real-time ML? This article explains how Shopify integrates AI-powered search capabilities into storefronts, enhancing product relevance with Semantic Search. Using machine learning embeddings, Shopify processes vast amounts of data in real-time, improving search accuracy and boosting merchant sales.➽ Get up to 100x query performance improvement with BigQuery history-based optimizations: This article introduces BigQuery's history-based optimizations, a feature that speeds up query execution by learning from previous executions of similar queries. It automatically applies optimizations like join pushdown and semijoin reduction, enhancing performance and resource efficiency without user intervention.➽ Reltio's Data Plane Transformation with Spanner on Google Cloud: Reltio, a leader in AI-powered data unification, migrated from Cassandra to Google Cloud's Spanner, achieving enhanced performance, scalability, and reliability. Spanner's seamless integration, scalability, and simplified operations enabled Reltio to optimize data unification while improving availability and reducing operational complexity.🎤 Voices of BI: Lessons from Industry Experts➽ Use Logic Apps To Save Money In Azure: Data Engineering in Fabric. This article discusses how companies can save costs by automating the on/off scheduling of Azure services in lower environments using Azure Logic Apps. By scheduling services like databases and virtual machines to run only during work hours, businesses can reduce expenses while maintaining flexibility for development and testing.➽ Database Center — your AI-powered, unified fleet management solution: This blog introduces Database Center, an AI-powered tool that provides a unified view of database fleets, offering proactive performance and security recommendations, simplifying compliance management, and enabling AI-driven optimization for improved operational efficiency and risk mitigation.➽ How Toyota migrated Its Safety Connect telematics services platform with virtually zero downtime to AWS? This blog details Toyota's migration of its Drivelink telematics platform to AWS to improve system performance and uptime for connected services like Safety Connect. The migration, using blue-green deployments, canary releases, and database replication, ensured near-zero downtime while enhancing scalability and reliability.➽ Enriching metadata for accurate text-to-SQL generation for Amazon Athena: This blog discusses using AI models, like Amazon Bedrock’s Claude, to generate SQL queries from natural language inputs. It emphasizes the importance of metadata for accurate SQL generation, demonstrates the workflow for Athena queries, and addresses metadata management challenges.We’ve got more great things coming your way—see you soon!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{line-height:0;font-size:75%} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}} @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }

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