A data lake stores raw and refined data in open formats, usually on object storage. It keeps history available for analytics, machine learning, search, compliance, and future use cases.

That flexibility only works with governance. Without ownership, metadata, quality checks, access control, and lifecycle management, a lake turns into a data dump that teams cannot trust.

In this chapter, you will learn: