Learn to build custom SQL Server Integration Services (SSIS) tasks using Visual Studio Community Edition and C#. Bring all the power of Microsoft .NET to bear on your data integration and ETL processes, and for no added cost over what you've already spent on licensing SQL Server. New in this edition is coverage showing how Azure Data Factory (ADF) developers can create the equivalent of custom Data Factory activities by executing SSIS from ADF. This ability fills a current gap by showing how to provide for yourself functionality not currently built in to ADF.
All examples in this new edition are implemented in C#. You're now able to create custom tasks using the widely accepted and default language for .NET development.
Why are custom components necessary? Because even though the SSIS catalog of built-in tasks and components is a marvel of engineering, there do remain gaps in the functionality that is provided. One such gap is the inability using the SSIS Execute Package task to select SSIS packages from other projects. Examples in this book show how to create a custom Execute Catalog Package task that does allow you to execute tasks from other projects. Building on the examples and patterns in this book allows you to create any task that you like, and custom tailored to your specific data integration and ETL needs.
What You Will Learn
- Configure and execute Visual Studio in the way that best supports SSIS task development
- Create a class library as the basis for an SSIS task, and reference the needed SSIS assemblies
- Properly sign assemblies that you create in order to invoke them from your task
- Implement source code control via Azure DevOps, or your own favorite tool set
- Troubleshoot and execute custom tasks as part of your own projects
- Create deployment projects (MSI's) for distributing code-complete tasks
- Deploy custom tasks to Azure Data Factory environments in the cloud
- Create advanced editors for custom task parameters
Who This Book Is ForFor database administrators and developers who are involved in ETL projects built around SQL Server Integration Services (SSIS). Readers should have a background in programming along with a desire to optimize their ETL efforts by creating custom-tailored tasks for execution from SSIS packages.
