Chris Seferlis covers some of the improvements in Azure Data Factory V2:
With ADF V2 you get a browser-based interface using drag and drop technology; V1 was primarily done in the Visual Studio IDE. It also added triggers for scheduling, so you can schedule your jobs when required and in additional ways (which I’ll discuss further in a bit).
Some other features of ADF V2 that came out as it became generally available:
Lift and Shift operations for your SSIS packages, so if you have SSIS packages local, you can now Lift and Shift those into compute with the integration runtime service in Data Factory.
This also allows for cloud to cloud, cloud to prem, prem to prem and some third-party tools are supported within that as well.
Control flow activities like link branching, looping, conditional execution and parameterization.
Integration with HD Spark and Databricks for big data workloads and data science.
There’s more where that came from, too.