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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
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14
Index

Microsoft Fabric Data Factory: A closer look at the pipelines

Microsoft Fabric Data Factory pipelines have many similarities with ADF pipelines. Many activities that are available in ADF (such as control flow and move and transform activities) are also available in Fabric Data Factory, and as time goes by more and more activities (such as data transformation activities) will be available on the Fabric platform.

In this recipe, we shall build a more complex pipeline to parse and load data from a file into a table in the lakehouse storage.

Getting ready

For this recipe, you need an active Power BI account and Microsoft Fabric activated. Follow the steps described in the Technical requirements section of this chapter to activate a Fabric trial license if you have not done so already.

This recipe builds upon the pipeline that we built in the previous recipe. If you do not have the pipeline or did not upload the data, please make sure to complete the previous recipe.

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