What this book covers
Chapter 1, Getting Started with Azure and SSIS 2019, describes, in step-by-step fashion, how to set up SQL Server 2019 to deploy the features that are used throughout the book. It also covers how to set up an Azure subscription.
Chapter 2, Introducing ETL, explains why ETL is needed, where it comes from, and the differences between ETL and ELT.
Chapter 3, Creating and Using SQL Server 2019 Big Data Clusters, discusses how to create, deploy, connect to, and retrieve data from SQL Server 2019 Big Data Clusters.
Chapter 4, Azure Data Integration, talks about the Azure Feature Pack, which allows SSIS to integrate Azure data from blob storage and HDInsight clusters.
Chapter 5, Extending SSIS with Custom Tasks and Transformations, talks about extending and customizing the built-in toolset with custom-developed control flow tasks and data flow transformations.
Chapter 6, Azure Data Factory, talks about using Azure Data Factory to move and transform data in the cloud.
Chapter 7, Azure Databricks, talks about using Azure Databricks to transform data in the cloud.
Chapter 8, SSIS cloud Migration Strategies, talks about scaling out SSIS packages to Azure.
Chapter 9, Profiling data in Azure, contains various recipes that show you how to perform data profiling in Azure Databricks.
Chapter 10, Manage SSIS and Azure Data Factory with BIML, contains various recipes that demonstrate how to manage SSIS and Azure Data Factory with BIML using metadata.
