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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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Building Data Ingestion Pipelines Using Azure Data Factory

Azure Data Factory is the data orchestration service in Azure. Using Azure Data Factory, you can build pipelines that are capable of reading data from multiple sources, transforming the data, and loading the data into data stores to be consumed by reporting applications such as Power BI. Azure Data Factory much like SQL Server Integration Services (SSIS) in an on-premises world, provides a code-free UI for developing, managing, and maintaining data engineering pipelines.

Azure Data Factory is the bread and butter for a data engineer and understanding its fundamentals is extremely essential in building efficient pipelines. By the end of the chapter, you will know how to provision a data factory account, copy data from an Azure SQL database to a data lake using copy activity, use control flow activities, move data from SQL Server to a data lake, and choose options to trigger a data factory pipeline.

In this chapter, we...

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Azure Data Engineering Cookbook
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