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 Synapse SQL and Spark Pools

As introduced in Chapter 8, Processing Data Using Azure Synapse Analytics, Azure Synapse Analytics is comprised of three key components – a Synapse integration pipeline to ingest and transform the data, SQL pool and Spark pool to process and serve the data, and Power BI integration to visualize the data. Monitoring the health of Synapse SQL and Spark pools is an integral part of the work of a data engineer managing large data engineering projects.

In this chapter, you will learn how to integrate Synapse SQL and Spark pools with Azure Log Analytics, identify long-running Spark jobs and SQL queries using a Log Analytics workspace, monitor Synapse health from Azure Monitor, and check the table and index health of SQL dedicated pool tables using Dynamic Management Views (DMVs).

In this chapter, we will cover the following recipes:

  • Configuring a Log Analytics workspace for Synapse SQL pools
  • Configuring a Log Analytics workspace...