Preface

Azure Data Factory (ADF) is a modern data integration tool available on Microsoft Azure. This ADF 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, specifically Azure Synapse Analytics and Azure Data Lake Storage Gen2, 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-premises 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 ADF and understand how Azure services can be useful in designing ETL pipelines. The book will take you through common errors that you may encounter while working with ADF and guide you in using the 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.

By the end of this book, you'll be able to use ADF as the main ETL and orchestration tool for your data warehouse or data platform projects.