Practise vocabulary for data catalogs (DataHub, Atlan, OpenMetadata, Alation), business glossary, data domains, data stewards, dataset certification, and data product concepts.
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A data catalog is most accurately described as:
Modern data catalogs (DataHub, Atlan, OpenMetadata, Alation) are "the Google for your data": they make datasets discoverable, contextualised, and trustworthy. Without a catalog, engineers spend hours asking "does a table for this exist?" and analysts build shadow spreadsheets instead of using official data.
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A business glossary in a data catalog maps:
Business glossary example: "Active User = a user who logged in at least once in the last 30 days AND completed at least one core action, as defined in fact_user_activity.is_active." Without this, finance calculates revenue one way, sales another — the glossary enforces a single definition across teams.
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A data steward's primary responsibility is:
Data stewards bridge business and engineering: they answer "What does this field mean?", "Is this data reliable?", "When should it be deleted?", "Who can access it?". The steward is accountable when data quality issues occur — not the engineer who built the pipeline.
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A "certified dataset" in a data catalog means:
Certification signals trust: "This dataset is production-quality, owned, documented, and tested." Uncertified datasets may be experiments, work-in-progress, or deprecated assets. Catalogs display certification badges and can filter to certified-only datasets, guiding analysts toward trusted data.
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The "data product" concept in a data catalog context refers to:
Data products (core to data mesh) apply product thinking to data: a team owns "the orders data product", guarantees freshness SLAs, publishes a stable schema interface, handles versioning, and is accountable to consumers. This contrasts with the traditional model where data was a by-product of operational systems.
What does the "Data Catalog Vocabulary" exercise practise?How many questions are in this exercise?
This exercise has 5 questions, each multiple-choice with a full explanation shown after you answer.
What English level is this exercise for?
This exercise is tagged Intermediate. If the vocabulary feels difficult, browse the Data Lineage Vocabulary category page for an easier module to start with.
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Do I get feedback if I answer incorrectly?
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Can I retry this exercise?
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Is "Data Catalog Vocabulary" part of a larger series?
Yes — it's one exercise in the Data Lineage Vocabulary category on CoderSlingo. See the category page for the full list of related exercises on similar terminology.
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Where can I find more exercises like this one?
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