Analysts at a retail company frequently download local copies of the nightly_sales dataset from the enterprise data lake, only to discover later that a more current edition already exists. The data-engineering team wants to stop this duplicate-file problem by publishing metadata in the data catalog that can immediately tell users whether they are looking at the authoritative, most recent copy of a dataset. According to accepted metadata management practices, which catalog capability should be implemented first to meet this goal?
Record a globally unique dataset identifier and explicit version number for every edition
Apply role-based access controls that restrict downloading of raw data files
Display an automated lineage graph that visualizes upstream and downstream transformations
Link each dataset to standardized business-glossary definitions for its fields
Providing a globally unique identifier together with an explicit version number is administrative metadata that makes each dataset edition unambiguous and easily comparable. When users see the identifier-version pair in the catalog, they can confirm whether a newer or different edition already exists and avoid creating duplicate local copies.
Business-glossary definitions improve semantic understanding but do not reveal whether a newer file exists. A lineage graph shows transformation paths, which is helpful for impact analysis yet still relies on unique IDs and versions to distinguish individual snapshots. Role-based access control limits who can download data but does not solve the underlying need to recognize duplicate or outdated files.
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CompTIA Data+ DA0-002 (V2)
Data Governance
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