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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

Microsoft Fabric and Power BI, Azure ML, and Cognitive Services

One of the benefits of Azure Cloud Services is the opportunity to leverage the latest technological innovations without investing additional resources. In this chapter, we delve into several services that provide access to state-of-the-art technologies. Azure Machine Learning (ML) equips data engineers and data scientists with the tools necessary to create, deploy, and manage complex data models. Azure Cognitive Services offers a collection of APIs that grant access to a range of artificial intelligence algorithms (various image classification, natural language processing, and speech recognition algorithms to name just a few areas), which are tailored for business use. Finally, in May 2023, Microsoft unveiled Fabric, a comprehensive integrated analytics solution. Fabric contains a suite of services for data storage, data movement, and data analytics.

Azure Data Factory (ADF) serves as a bridge for integration with...

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