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Azure Data Factory Cookbook

Azure Data Factory Cookbook

By : Dmitry Foshin, Tonya Chernyshova, Dmitry Anoshin, Xenia Ireton
4.9 (29)
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Azure Data Factory Cookbook

Azure Data Factory Cookbook

4.9 (29)
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)
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13
Other Books You May Enjoy
14
Index

Using the Lookup, Web, and Execute Pipeline activities

In this recipe, we shall implement error handling logic for our pipeline – similar to the previous recipe, but with a more sophisticated design: we shall isolate the error handling flow in its own pipeline. Our main parent pipeline will then call the child pipeline. This recipe also introduces three very useful activities to the user: Lookup, Web, and Execute Pipeline. The recipe will illustrate how to retrieve information from an Azure SQL table and how to invoke other Azure services from the pipeline.

Getting ready

We shall be using all the Azure services that are mentioned in the Technical requirements section at the beginning of the chapter. In addition, this recipe requires a table to store the email addresses of the status email recipients. Please refer to the Technical requirements section for the table creation scripts and instructions.We shall be building a pipeline that sends an email in the case of failure. There...

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