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)

Azure Data Factory Integration Runtime

The Azure Data Factory Integration Runtime (IR) is the compute infrastructure that is responsible for executing data flows, pipeline activities, data movement, and SQL Server Integration Services (SSIS) packages. There are three types of IR: Azure, self-hosted, and Azure SSIS.

Azure IR is used to process data flows, data movement, and activities involving cloud-based data sources. By default, a type of Azure IR called AutoResolveIntegrationRuntime is created whenever a new data factory is created. AutoResolveIntegrationRuntime automatically determines the best location to run the IR. In addition to AutoResolveIntegrationRuntime, you can provision additional instances of Azure IR as well. In provisioned Azure IR instances, you may specify the preferred location to run the IR.

A self-hosted IR can be installed on-premises or on a virtual machine that uses the Windows OS and can be used to work with data on-premises or in the cloud. It can...