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Azure Data Engineering Cookbook

Azure Data Engineering Cookbook - Second Edition

By : Nagaraj Venkatesan, Ahmad Osama
4.6 (13)
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Azure Data Engineering Cookbook

Azure Data Engineering Cookbook

4.6 (13)
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)
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Configuring a virtual network and private endpoints for Azure SQL Database

Securing the connectivity to an Azure SQL database is important to limit the exposure of the database to external attacks such as distributed denial-of-service (DDOS) attacks and SQL injection. Using private endpoints for connecting to Azure SQL Database ensures that the database connectivity flows through Azure’s backbone network and does not use the public internet. Placing the SQL endpoint behind a virtual network prevents Azure SQL Database from being exposed to a connection request from the public internet. In this recipe, we will explore how we can configure private endpoints using virtual networks for Azure SQL Database.

Getting ready

  1. Log in to portal.azure.com.
  2. Create an Azure SQL Database, as explained in the Provisioning and connecting to an Azure SQL database using PowerShell recipe in this chapter.

How to do it…

Perform the following steps to create an Azure...

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Azure Data Engineering Cookbook
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