When you build different datasets for different purposes and scenarios, there always were certain tables that you needed across many of these datasets. While duplicating the transformation logic across each dataset, you might have often wondered why you would need to waste time doing the same thing over and over.
Enter Dataflows. In this session I will take you through why Dataflows is the best method to create reusable transformation logic, and how you would use it. But, that’s not all. Dataflows was created for other needs as well, such as for architectural abstraction, and dealing with large volumes of data. We will look at these needs too, and I will show you how Dataflows can be used to implement these needs.