he use of separate dataflows based on purpose: staging, transformation, or final. We recommend using composable building blocks to obtain greater reuse, in various combinations, to support specific user requirements. Composable building blocks are described later in this article.

focus of this advanced data preparation scenario is on:

For a dataflow that's intended for reuse, it's common (but not required) that the creator belongs to a centralized team that supports users across organizational boundaries (such as IT, enterprise BI, or the Center of Excellence).

A staging dataflow is created in a workspace that's dedicated to the centralized management of dataflows. A staging dataflow copies the raw data as-is from the source. Few, if any, transformations are applied.

Use of composable building blocks is a design principle that allows you to manage, deploy, and secure system components, and then use them in various combinations. Creating modular, self-contained dataflows that are specific to a purpose is a best practice. They help to achieve data reuse and enterprise scale. Modular dataflows are also easier to manage and test.