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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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Index

Ingesting data from Azure Blob storage to ADX in Azure Data Factory using the Copy activity

In this recipe, we explore the versatility of ADF in its interactions with ADX. Azure Data Factory can both extract data from and ingest data into ADX, serving the dual roles of source and sink. This flexibility ensures that data flow and transformation between various Azure services are seamless and efficient.

While there are multiple ways to work with data in this context, our focus in this recipe will be on the Copy command within ADF. Utilizing this command, we’ll guide you through the process of ingesting data from Azure Blob storage directly into ADX. This method simplifies the data migration process, ensuring that your information is rapidly available in ADX for analysis and exploration.

Getting ready

For this recipe, we need an existing Azure Storage account and an ADX cluster. We will add one more file to the storage account and use it as a source file that we will...

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