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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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Transforming Data Using Azure Synapse Dataflows

As introduced in Chapter 8, Processing Data Using Azure Synapse Analytics, Azure Synapse Analytics comprises three key components – a Synapse integration pipeline to ingest and transform the data, a SQL pool and a Spark pool to process and serve the data, and Power BI integration to visualize the data. This chapter will focus on performing data transformations via Synapse data flows, a critical component of Synapse integration pipelines. Azure Synapse data flows allow us to perform transformations on the data such as converting data format, filtering, merging, and sorting while moving the data from the source to the destination. The best part about Synapse data flows is the user-friendly interface that allows us to perform complex data transformations in a few clicks.

In this recipe, we will be performing the following:

  • Copying data using a Synapse data flow
  • Performing data transformation using activities such as...
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Azure Data Engineering Cookbook
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