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Azure Data Factory Cookbook:
Build and manage ETL and ELT pipelines with Microsoft Azure's serverless data integration service
by Dmitry Anoshin
English | 2020 | ISBN: 1800565291 | 276 Pages | EPUB | 34 MB
Azure Data Factory (ADF) is a modern data integration tool available on Microsoft Azure. This Azure Data Factory Cookbook helps you get up and running by showing you how to create and execute your first job in ADF. You'll learn how to branch and chain activities, create custom activities, and schedule pipelines. This book will help you to discover the benefits of cloud data warehousing, Azure Synapse Analytics, and Azure Data Lake Gen2 Storage, which are frequently used for big data analytics. With practical recipes, you'll learn how to actively engage with analytical tools from Azure Data Services and leverage your on-premise infrastructure with cloud-native tools to get relevant business insights. As you advance, you'll be able to integrate the most commonly used Azure Services into Azure Data Factory and understand how Azure services can be useful in designing ETL pipelines. The book will take you through the common errors that you may encounter while working with Azure Data Factory and guide you in using Azure Portal to monitor pipelines. You'll also understand error messages and resolve problems in connectors and data flows with the debugging capabilities of ADF.
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