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 the Hyperscale tier of Azure SQL Database

Azure SQL Database offers three service tiers – General Purpose, Business Critical, and Hyperscale – when purchased in the vCore model. General Purpose is the most commonly used service tier for medium-sized applications, while the Business Critical tier offers enterprise-class performance and enhanced high-availability options. However, both the General Purpose and Business Critical tiers have a maximum database size limit of 4 TB. A Hyperscale database allows the database to scale up to 100 TB, as well as offering enterprise-class performance and high-availability capabilities. One of the aspects of Hyperscale databases is that we don’t need to specify an upper limit for the database size; the database automatically grows as you use it and you pay for the storage you have used.

This recipe will show how to provision the Hyperscale tier of Azure SQL Database.

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