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 high availability to the Hyperscale tier of Azure SQL Database

Azure SQL Database in the Hyperscale tier supports databases with up to 100 TB of storage size, compared to the 4 TB offered in the General Purpose and Business Critical tiers. In addition to supporting large databases, the Hyperscale tier offers high-availability capabilities too, with the three following types of replica:

  • Geo-replica: Allows the creation of asynchronous replicas in the same or a different region, allowing users to have a read-only copy of the database
  • High-availability replica: Acts as a hot standby server, offering automatic failover
  • Named replica: Allows the creation of replicas with a different database name from the primary database, mainly used for supporting read scale-out scenarios

Both high-availability and named replicas are configured on synchronous mode, and can be created in the same location as a primary database.

In this recipe, we will configure...