SQL Server Integration Services (SSIS) has been the Microsoft ETL predilection tool for more than a decade. A lot of enterprises have used SSIS to load their on-premises data warehouses since its inception in SQL Server 2005.

In the last couple of years, IT departments have had to deal with different kinds of data and specific toolsets to process them. SSIS has successfully been able to access cloud data from on-premises ETL servers since 2015 with the Azure Feature Pack (https://docs.microsoft.com/en-us/sql/integration-services/azure-feature-pack-for-integration-services-ssis?view=sql-server-2017). However, issues occur when most of the ETL is in the cloud and SSIS is in a small part of the chain. And, up until now, it was very complex to use ADF V1 as the orchestrator in the cloud, with some SSIS package calls in the pipeline.

The following sections will describe how SSIS on-premises can be successfully leveraged to interact with cloud data in ADF V2.