Summary
The Mapping Data Flow makes it even easier for more people to create code free transformation that can be used to cleanse data. With common transformation types covered, it may be the only tool required before loading into a data warehouse or preparing for an advanced analytical workload. If not, Azure Data Factory also can call on the features of a variety of Azure Data Platform technologies to perform transformations on its behalf. For organizations that have SSIS packages that contain the transformation logic, SSIS packages can be used with Azure Data Factory too, which make Azure Data Factory the one stop shop for your transformation needs.
Important
Should you be working in your own subscription while running through this content, it is best practice at the end of a project to identify whether or not you still need the resources you created. Resources left running can cost you money. You can delete resources one by one, or just delete the resource group to get rid of the entire set.