To support copy activities and offloading of computing tasks, there is an additional type of Integration Runtime component that is either Azure-based or Self-Hosted.
Configure a Git Repository – this allows the user to configure a connection between the ADF instance and a Visual Studio Team Services account GitHub hosted repositories are not currently supported. Configure a new SSIS Integration Runtime – this allows the user to create a new SSIS Integration Runtime in an Azure SQL Database to support SSIS packages for lift-and-shift scenarios Microsoft claims that on premises SSIS packages should execute as normal within Azure subject to data source connectivity and availability. Create a new ADF copy pipeline – this allows the user to pick a source data set and target data set for quick creation of a copy pipeline and is the same wizard used in ADF v1 currently 33 data sources are supported for data sources, such as Amazon Redshift, Oracle and SAP HANA, and 13 data sources are supported for data targets, including some Azure services but also Oracle and Salesforce. Create a new ADF pipeline – this allows the user to set up a processing pipeline via a drag-and-drop visual interface and supports complex branching, computing components such as HDInsight and Azure Data Lake Analytics, and includes the new web-based data sources as well as more traditional ones such as Azure SQL Database and files. The tooling is web-based and is launched in the Azure portal from within the deployed Azure Data Factory. 
The recent release of the visual tooling brings the service more in line with the previous version.
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However, for the September release of the service Visual tooling was not available, making it a manual process to create ADF v2 components and pipelines.
Ability to execute SSIS packages in a cloud-based integration runtime. Support for web endpoints for data ingress or egress. Greater control over complex workflows, including conditional looping. New scheduling capabilities supporting run once and complex scheduling scenarios. With the release of v2 of the ADF service, support was added for: After releasing Microsoft Azure Data Factory v2 (ADF) in public preview in September, Microsoft has recently followed up with the announcement of a public preview of new visual tooling for the fully managed cloud-based data integration and ETL service.
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