What is 'data catalog' and why is it essential?

• A. A simple list of database names.
• B. A searchable inventory of data assets with metadata, lineage, and ownership.
• C. A data lake with no metadata.
• D. A user-facing marketing catalog.

Answer: (B)

A data catalog is a searchable inventory of data assets that includes metadata, data lineage, and ownership. It lets people quickly find the datasets they need, understand what the data represents, where it came from, how it’s transformed, and who is responsible for it. Metadata describes the data’s meaning, structure, data types, sources, refresh cadence, quality indicators, and usage notes, while lineage shows how data moves and changes from source to consumption. Ownership identifies the data steward or team accountable for governance and access decisions. Together, these elements enable data discovery, governance, trust, and compliance, and they accelerate analytics and AI work by reducing time spent searching and interpreting data. The other options don’t fit because a simple list of database names lacks context, a data lake with no metadata isn’t discoverable or governable, and a marketing catalog isn’t about data assets at all. The comprehensive, metadata-rich, searchable inventory is essential.