Concept Summary: Sample Recipe

Summary

Summary

In this lesson, we'll look at a summary of the Sample Recipe concept. In this lesson, we'll look at ways the Sample/Filter recipe is useful when analyzing a large dataset. For example, you might want to get a general sense of a dataset’s records, schema, and value types, without having to process the entire dataset. On big data projects, you can add a random sample at the beginning of the Flow and continue working on the project. Later, when you are finished experimenting and ready to run the entire dataset through the Flow, you can remove the sample step.