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)

Auto pausing Synapse dedicated SQL pool

As of July 2022, unlike Azure SQL Database and Azure Databricks, the ability to automatically pause the database is not available in Synapse dedicated SQL pool databases. It would be useful to detect inactive periods in a Synapse dedicated SQL pool database and automatically pause it. This recipe will showcase a method that detects whether the Synapse dedicated SQL pool database was inactive for 30 minutes and pauses it if so.

Getting ready

Create a Synapse Analytics workspace, as explained in the Provisioning an Azure Synapse Analytics workspace recipe of Chapter 8, Processing Data Using Azure Synapse Analytics.

Create a Synapse SQL dedicated pool database named packtadesqlpool, as described in steps to 3 of the How to do it… section of the Loading data into dedicated SQL pool using PolyBase and T-SQL recipe of Chapter 10, Building the Serving Layer in Azure Synapse SQL Pool.

Create an Azure Automation account named azadeautomation...