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Azure Data Engineering Cookbook

Azure Data Engineering Cookbook - Second Edition

By : Nagaraj Venkatesan, Ahmad Osama
4.6 (13)
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Azure Data Engineering Cookbook

Azure Data Engineering Cookbook

4.6 (13)
By: Nagaraj Venkatesan, Ahmad Osama

Overview of this book

The famous quote 'Data is the new oil' seems more true every day as the key to most organizations' long-term success lies in extracting insights from raw data. One of the major challenges organizations face in leveraging value out of data is building performant data engineering pipelines for data visualization, ingestion, storage, and processing. This second edition of the immensely successful book by Ahmad Osama brings to you several recent enhancements in Azure data engineering and shares approximately 80 useful recipes covering common scenarios in building data engineering pipelines in Microsoft Azure. You’ll explore recipes from Azure Synapse Analytics workspaces Gen 2 and get to grips with Synapse Spark pools, SQL Serverless pools, Synapse integration pipelines, and Synapse data flows. You’ll also understand Synapse SQL Pool optimization techniques in this second edition. Besides Synapse enhancements, you’ll discover helpful tips on managing Azure SQL Database and learn about security, high availability, and performance monitoring. Finally, the book takes you through overall data engineering pipeline management, focusing on monitoring using Log Analytics and tracking data lineage using Azure Purview. By the end of this book, you’ll be able to build superior data engineering pipelines along with having an invaluable go-to guide.
Table of Contents (16 chapters)
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Processing Data Using Azure Synapse Analytics

Azure Synapse Analytics workspaces generation 2, formally released in December 2020, is the industry-leading big data solution for processing and consolidating data of business value. Azure Synapse Analytics has three important components:

  • SQL pools and Spark pools for performing data exploration and processing
  • Integration pipelines for performing data ingestion and data transformations
  • Power BI integration for data visualization

Having data ingestion, processing, and visualization capabilities in a single service with seamless integration with all other services makes Azure Synapse Analytics a very powerful tool in big data engineering projects. This chapter will introduce you to Synapse workspaces and cover the following recipes:

  • Provisioning an Azure Synapse Analytics workspace
  • Analyzing data using serverless SQL pool
  • Provisioning and configuring Spark pools
  • Processing data using Spark pools...
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Azure Data Engineering Cookbook
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