Preface

Extract, Transform, Load (ETL) is one of the most common and tedious procedures for moving and processing data from one database to another. With the help of this book, you will be able to speed up the process by designing efficient ETL solutions using the Azure services available for handling and transforming any data to suit your requirements.

With this cookbook, you will become well versed in all the features of SQL Server Integration Services (SSIS) to perform data migration and ETL tasks that integrate with Azure. You will learn how to transform data in Azure and understand how legacy systems perform ETL on-premises using SSIS. Later chapters will get you up to speed with connecting and retrieving data from SQL Server 2019 Big Data Clusters, and even show you how to extend and customize the SSIS toolbox using custom-developed tasks and transformations. This ETL book also contains practical recipes for moving and transforming data with Azure services, such as Data Factory and Azure Databricks, and lets you explore various options for migrating SSIS packages to Azure. Toward the end, you will find out how to profile data in the cloud and automate package development with Business Intelligence Markup Language (BIML).

By the end of this book, you will have developed the skills you need to create and automate ETL solutions on-premises as well as in Azure.