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)

Optimizing and Maintaining Synapse SQL and Spark Pools

In the previous chapter, we learned how to monitor Synapse dedicated SQL and Spark pools. As a natural follow-up to that, in this chapter, we will cover techniques that can optimize the performance of Synapse SQL and Spark pools. In addition to optimization techniques, we will also share maintenance techniques such as pausing Synapse dedicated SQL pools and configuring a longer backup retention duration for Synapse dedicated SQL pools.

By the end of this chapter, you will have learned how to optimize Synapse dedicated SQL pool by reading a query plan and fixing its distribution, building a replication cache, and configuring result set caching. You will also know how to improve Spark pool performance using Z-ordering and partitioning techniques. In addition to optimization techniques, you will have learned about various maintenance techniques to automatically pause Synapse dedicated SQL pool during quiet periods, configure a...