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Limitless Analytics with Azure Synapse
Limitless Analytics with Azure Synapse

Limitless Analytics with Azure Synapse: An end-to-end analytics service for data processing, management, and ingestion for BI and ML

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Profile Icon Saranya Ravichander Profile Icon Prashant Kumar Mishra
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€41.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.6 (16 Ratings)
Paperback Jun 2021 392 pages 1st Edition
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Arrow left icon
Profile Icon Saranya Ravichander Profile Icon Prashant Kumar Mishra
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€41.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.6 (16 Ratings)
Paperback Jun 2021 392 pages 1st Edition
eBook
€28.99 €32.99
Paperback
€41.99
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Free Trial
Renews at €18.99p/m
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€28.99 €32.99
Paperback
€41.99
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Renews at €18.99p/m

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Limitless Analytics with Azure Synapse

Chapter 1: Introduction to Azure Synapse

Azure Synapse Analytics, formerly known as Azure SQL Data Warehouse, is not a mere data warehouse anymore. Azure Synapse is an amalgamation of big data analytics with an enterprise data warehouse. It provides two different types of compute environments for different workloads: one is the SQL compute environment, which is called a SQL pool, and the other one is the Spark compute environment, which is called a Spark pool. Now developers can choose their compute environment as per their business needs. Azure Synapse also provides a unified portal called Synapse Studio for developers that creates a workspace for data prep, data management, data exploration, data warehousing, big data, and AI tasks.

This chapter covers an introduction to Azure Synapse and guides you on starting to use Synapse Studio. You will learn how to create an Azure Synapse workspaces and get acquainted with the components of Azure Synapse. You can start using Synapse with the sample data and queries provided in the Azure portal itself.

In this chapter, our topics will include the following:

  • Introducing the components of Azure Synapse
  • Creating a Synapse workspace
  • Understanding Azure Data Lake
  • Exploring Synapse Studio
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Key benefits

  • Learn to ingest, prepare, manage, and serve data for immediate business requirements
  • Bring enterprise data warehousing and big data analytics together to gain insights from your data
  • Develop end-to-end analytics solutions using Azure Synapse

Description

Azure Synapse Analytics, which Microsoft describes as the next evolution of Azure SQL Data Warehouse, is a limitless analytics service that brings enterprise data warehousing and big data analytics together. With this book, you'll learn how to discover insights from your data effectively using this platform. The book starts with an overview of Azure Synapse Analytics, its architecture, and how it can be used to improve business intelligence and machine learning capabilities. Next, you'll go on to choose and set up the correct environment for your business problem. You'll also learn a variety of ways to ingest data from various sources and orchestrate the data using transformation techniques offered by Azure Synapse. Later, you'll explore how to handle both relational and non-relational data using the SQL language. As you progress, you'll perform real-time streaming and execute data analysis operations on your data using various languages, before going on to apply ML techniques to derive accurate and granular insights from data. Finally, you'll discover how to protect sensitive data in real time by using security and privacy features. By the end of this Azure book, you'll be able to build end-to-end analytics solutions while focusing on data prep, data management, data warehousing, and AI tasks.

Who is this book for?

This book is for data architects, data scientists, data engineers, and business analysts who are looking to get up and running with the Azure Synapse Analytics platform. Basic knowledge of data warehousing will be beneficial to help you understand the concepts covered in this book more effectively.

What you will learn

  • Explore the necessary considerations for data ingestion and orchestration while building analytical pipelines
  • Understand pipelines and activities in Synapse pipelines and use them to construct end-to-end data-driven workflows
  • Query data using various coding languages on Azure Synapse
  • Focus on Synapse SQL and Synapse Spark
  • Manage and monitor resource utilization and query activity in Azure Synapse
  • Connect Power BI workspaces with Azure Synapse and create or modify reports directly from Synapse Studio
  • Create and manage IP firewall rules in Azure Synapse
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Publication date : Jun 18, 2021
Length: 392 pages
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Language : English
ISBN-13 : 9781800205659
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Frequently bought together


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Table of Contents

19 Chapters
Section 1: The Basics and Key Concepts Chevron down icon Chevron up icon
Chapter 1: Introduction to Azure Synapse Chevron down icon Chevron up icon
Chapter 2: Considerations for Your Compute Environment Chevron down icon Chevron up icon
Section 2: Data Ingestion and Orchestration Chevron down icon Chevron up icon
Chapter 3: Bringing Your Data to Azure Synapse Chevron down icon Chevron up icon
Chapter 4: Using Synapse Pipelines to Orchestrate Your Data Chevron down icon Chevron up icon
Chapter 5: Using Synapse Link with Azure Cosmos DB Chevron down icon Chevron up icon
Section 3: Azure Synapse for Data Scientists and Business Analysts Chevron down icon Chevron up icon
Chapter 6: Working with T-SQL in Azure Synapse Chevron down icon Chevron up icon
Chapter 7: Working with R, Python, Scala, .NET, and Spark SQL in Azure Synapse Chevron down icon Chevron up icon
Chapter 8: Integrating a Power BI Workspace with Azure Synapse Chevron down icon Chevron up icon
Chapter 9: Perform Real-Time Analytics on Streaming Data Chevron down icon Chevron up icon
Chapter 10: Generate Powerful Insights on Azure Synapse Using Azure ML Chevron down icon Chevron up icon
Section 4: Best Practices Chevron down icon Chevron up icon
Chapter 11: Performing Backup and Restore in Azure Synapse Analytics Chevron down icon Chevron up icon
Chapter 12: Securing Data on Azure Synapse Chevron down icon Chevron up icon
Chapter 13: Managing and Monitoring Synapse Workloads Chevron down icon Chevron up icon
Chapter 14: Coding Best Practices Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

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Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.6
(16 Ratings)
5 star 87.5%
4 star 0%
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2 star 6.3%
1 star 6.3%
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Niraj Kumar Jun 18, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book did a great job describing the Azure synapse Analytics. This book provides step by step guidance on how to create SQL and Spark pool. All the sections covered neatly with corresponding diagrams that make it easy to understand all the concepts. This book also provides guidance on how to create Synapse pipeline, connect the data with Power BI and how to use Azure ML services with synapse. I really love the topics and the contents. This is a must buy book for anyone trying to learn Azure synapse.
Amazon Verified review Amazon
Nishant Thakur Jun 19, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book explains in detail about Synapse Analytics and provides enough technical guidance for developers to build modern data warehouse in azure cloud.
Amazon Verified review Amazon
Ravichander Jun 20, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Well compiled and easy to understand, step by step descriptions. Easily understandable. Value for money.
Amazon Verified review Amazon
Saranya Jun 19, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Explanations in this book are very concise and thorough, I really loved this book. It covers all the concepts and features related to Azure Synapse so, this is a must buy book if you want to learn Azure Synapse.
Amazon Verified review Amazon
Arshad Ali Jun 23, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Azure Synapse Analytics is a comprehensive and unified platform to build modern data warehouse from end to end. This book does a great job in describing Azure Synapse Analytics, its different engines - dedicated and serverless pool, based on MPP (Massively Parallel Processing) for your relational distributed workloads, and Spark pool for big data workload needs - and to get you started with step by step instructions. Further, it neatly covers how to build data integration pipelines and finally on consumption side, how to connect Power BI for visualization and to build machine learning models. If you are beginner, this book has step by step instructions to get you started quickly on Azure Synapse Analytics or if you are an experienced developer/architect this book has sections dedicated to help design modern analytics platform based on lambda architecture (batch and real-time) as well as provides proven best practices to optimize the performance of your application.
Amazon Verified review Amazon
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