Book Image

Azure Data Engineering Cookbook - Second Edition

By : Nagaraj Venkatesan, Ahmad Osama
Book Image

Azure Data Engineering Cookbook - Second Edition

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)

Monitoring and Maintaining Azure Data Engineering Pipelines

12 chapters and 500+ pages into this book should have given you a fair understanding of building Data Factory/Synapse integration pipelines to ingest, process, and store your data. The next key aspect of Azure data engineering is to monitor and maintain the pipelines that you’ve developed.

In this chapter, we will cover the following recipes:

  • Monitoring Synapse integration pipelines using Log Analytics and workbooks
  • Tracing SQL queries for Synapse dedicated SQL pools to Synapse integration pipelines
  • Provisioning a Microsoft Purview account and creating a data catalog
  • Integrating a Synapse workspace with Microsoft Purview and tracking data lineage
  • Applying Azure tags using PowerShell to multiple Azure resources

After completing these recipes, you will be familiar with integrating Synapse workspaces with Log Analytics, monitoring Synapse pipeline performance and failures, using labels...