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Key benefits

Integrate with Azure Synapse Analytics, Cosmos DB, and Azure HDInsight Kafka Cluster to scale and analyze your projects and build pipelines

Use Databricks SQL to run ad hoc queries on your data lake and create dashboards

Productionize a solution using CI/CD for deploying notebooks and Azure Databricks Service to various environments

Description

Azure Databricks is a unified collaborative platform for performing scalable analytics in an interactive environment. The Azure Databricks Cookbook provides recipes to get hands-on with the analytics process, including ingesting data from various batch and streaming sources and building a modern data warehouse. The book starts by teaching you how to create an Azure Databricks instance within the Azure portal, Azure CLI, and ARM templates. You’ll work through clusters in Databricks and explore recipes for ingesting data from sources, including files, databases, and streaming sources such as Apache Kafka and EventHub. The book will help you explore all the features supported by Azure Databricks for building powerful end-to-end data pipelines. You'll also find out how to build a modern data warehouse by using Delta tables and Azure Synapse Analytics. Later, you’ll learn how to write ad hoc queries and extract meaningful insights from the data lake by creating visualizations and dashboards with Databricks SQL. Finally, you'll deploy and productionize a data pipeline as well as deploy notebooks and Azure Databricks service using continuous integration and continuous delivery (CI/CD). By the end of this Azure book, you'll be able to use Azure Databricks to streamline different processes involved in building data-driven apps.

What you will learn

Read and write data from and to various Azure resources and file formats

Build a modern data warehouse with Delta Tables and Azure Synapse Analytics

Explore jobs, stages, and tasks and see how Spark lazy evaluation works

Handle concurrent transactions and learn performance optimization in Delta tables

Learn Databricks SQL and create real-time dashboards in Databricks SQL

Integrate Azure DevOps for version control, deploying, and productionizing solutions with CI/CD pipelines

Discover how to use RBAC and ACLs to restrict data access

Build end-to-end data processing pipeline for near real-time data analytics

What do you get with Print?

Instant access to your digital eBook copy whilst your Print order is Shipped

Paperback book shipped to your preferred address

Download this book in EPUB and PDF formats

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Frequently bought together

$48.99

Data Engineering with Apache Spark, Delta Lake, and Lakehouse

$48.99

$54.99

Total $ 152.97

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Amazon verified reviews

Anand Prasad Sep 22, 2021

A fantastic book , in the era where engineers/authors are very satisfied with high level designs and architecture , this book provides the real time use cases and provides in-depth hands-on experience of Azure Data Bricks. Having worked in Data Bricks for last 2 years , I felt this is a good place to recap and check the implementation details of the data bricks scenarios. Overall a must-read for budding & experienced data professionals who are working in azure data bricks.

Amazon Verified review

Kensho Sep 19, 2021

This is a great book to get going with Azure databricks without getting bogged down too much with details of spark internals. Other books currently available are more like an instruction manual to spark. First couple of chapters explain how databricks is set up on top of azure. There are chapters on Spark query execution and spark streaming, but it is to the point, without overwhelming the readers. There are chapters on dealing with various source files (csv,parquet,json). I loved that there are lot of integration aspects with azure ecosystem and this is the USP of the book- Mounting to Databricks, using Azure key vault, Setting up Log Analytics, Setting up security with RBAC and ACLs, connecting to Power BI, connecting to eventhubs, cosmos, Synapse and even using ADF for orchestration. There are dedicated chapters on delta lake (with a lot of details) and SQL Analytics. Folks who are looking to do a deep dive on spark may use learning spark or definitive guide from oreilly. I got this book to understand how to use databricks and it did exactly that.

tania Sep 20, 2021

great book very detailed, good read

Amazon Customer Oct 11, 2021

This book is very helpfull, it is very well organized. I think the book is quite didactic, which makes learning pretty easy.I love that it is very detail with a lot of detailed examples so you could learn fast.I also loved, that it has theoretical and practical details for a great understanding of databricks.

Jorge Sep 23, 2021

Excelente libro , muy completa la explicación de la autora del libro. La parte de dataframe es muy completa .

Azure Databricks Cookbook: Accelerate and scale real-time analytics solutions using the Apache Spark-based analytics service

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