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)

Configuring longer backup retention for a Synapse SQL database

By default, backups of a Synapse SQL dedicated pool database are only available for 7 days. In other words, you can retrieve versions of the database that are no older than 7 days. Having a backup retention period of 7 days in most environments will not be sufficient. Therefore, in this recipe, we will learn how to retain backups with a retention period longer than 7 days.

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 dedicated SQL pool named packtadesqlpool, as described in steps 1 to 3 of the How to do it… section of the Loading data into a 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, as described in steps...