Book Image

Azure Data Factory Cookbook - Second Edition

By : Dmitry Foshin, Tonya Chernyshova, Dmitry Anoshin, Xenia Ireton
4 (1)
Book Image

Azure Data Factory Cookbook - Second Edition

4 (1)
By: Dmitry Foshin, Tonya Chernyshova, Dmitry Anoshin, Xenia Ireton

Overview of this book

This new edition of the Azure Data Factory book, fully updated to reflect ADS V2, will help you get up and running by showing you how to create and execute your first job in ADF. There are updated and new recipes throughout the book based on developments happening in Azure Synapse, Deployment with Azure DevOps, and Azure Purview. The current edition also runs you through Fabric Data Factory, Data Explorer, and some industry-grade best practices with specific chapters on each. You’ll learn how to branch and chain activities, create custom activities, and schedule pipelines, as well as discover the benefits of cloud data warehousing, Azure Synapse Analytics, and Azure Data Lake Gen2 Storage. With practical recipes, you’ll learn how to actively engage with analytical tools from Azure Data Services and leverage your on-premises infrastructure with cloud-native tools to get relevant business insights. You'll familiarize yourself with the common errors that you may encounter while working with ADF and find out the solutions to them. You’ll also understand error messages and resolve problems in connectors and data flows with the debugging capabilities of ADF. By the end of this book, you’ll be able to use ADF with its latest advancements as the main ETL and orchestration tool for your data warehouse projects.
Table of Contents (15 chapters)
13
Other Books You May Enjoy
14
Index

Orchestrating ADX data with Azure Data Factory

In the recipe, we highlight the orchestration capabilities of ADF in conjunction with ADX. The focus is on the ADX Command activity within ADF, which facilitates the direct execution of ADX commands.

We will begin by querying the Storm Events table in ADX to extract specific records where direct deaths exceed 5 and place them into the new table, DeadlyStorms. Following this extraction, the recipe outlines the steps to ingest this dataset into a new table within ADX using ADF.

By the end of this recipe, you will have a clear understanding of how to orchestrate data processes and manage data movement within ADX using Azure Data Factory, enhancing your capability to perform intricate data operations within Azure.

Getting ready

We will continue to use our existing ADX cluster and will need to use the service principal that we created in Chapter 1, Getting Started with ADF – or you can use any other service principal...