Andy Leonard Building Custom Tasks for SQL Server Integration Services

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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 a demonstration deploying a custom SSIS task to the Azure Data Factory (ADF) Azure-SSIS Integration Runtime (IR). All examples in this new edition are implemented in C#. Custom task developers are shown how to implement 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, gaps remain in the available functionality. One such gap is a constraint of the built-in SSIS Execute Package Task, which does not allow SSIS developers to select SSIS packages from other projects in the SSIS Catalog. Examples in this book show how to create a custom Execute Catalog Package task that allows SSIS developers to execute tasks from other projects in the SSIS Catalog. Building on the examples and patterns in this book, SSIS developers may create any task to which they aspire, custom tailored to their specific data integration and ETL needs. What You Will LearnConfigure and execute Visual Studio in the way that best supports SSIS task developmentCreate a class library as the basis for an SSIS task, and reference the needed SSIS assembliesProperly sign assemblies that you create in order to invoke them from your taskImplement source code control via Azure DevOps, or your own favorite tool setTroubleshoot and execute custom tasks as part of your own projectsCreate deployment projects (MSIs) for distributing code-complete tasksDeploy custom tasks to Azure Data Factory Azure-SSIS IRs in the cloudCreate advanced editors for custom task parametersWho This Book Is ForFor database administrators and developers who are involved in ETL projects built around SQL Server Integration Services (SSIS). Readers do not need a background in software development with C#. Most important is a desire to optimize ETL efforts by creating custom-tailored tasks for execution in SSIS packages, on-premises or in ADF Azure-SSIS IRs.