Lift SQL Server Integration Services packages to Azure with Azure Data Factory

Data is vital to every app and experience we build today. With increasing amount of data, organizations do not want to be tied down by increasing infrastructural costs that come with it. Data engineers and developers are realizing the need to start moving their on-premise workloads to the cloud to take advantage of its massive scale and flexibility. Azure Data Factory capabilities are generally available for SQL Server Integration Services (SSIS) customers to easily lift SSIS packages to Azure gaining scalability, high availability, and lower TCO, while ADF manages resources for them.


Using code-free ADF UI/app, data engineers and developers can now provision and monitor Azure-SSIS Integration Runtime (IR) which are dedicated ADF servers for SSIS package executions. This capability now comes with amazing new features:

Data engineers and developers can continue to use familiar SQL Server Data Tools (SSDT) and SQL Server Management Studio (SSMS) to design, deploy, configure, execute, and monitor SSIS packages in the cloud. All of these capabilities are now generally available. Modernize and extend ETL workflows to automatically provision Azure-SSIS IR on-demand, just-in-time, inject built-in data transformations, and much more with SSIS in Azure Data Factory.

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Source: Big Data

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