Harvest metadata, lineage, and governance to power discovery and policy enforcement
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Implement policies, access controls, lineage, and approvals to keep data compliant
Design domain-owned data products with platform capabilities and federated governance
Add profiling, testing, SLAs, and alerting to keep data trustworthy end to end
Common questions about ai data catalog architecture generator
Use connectors for DBs, warehouses, lakes, BI, and pipelines. Schedule crawls and listen to events.
Capture job and query lineage at table/column level. Visualize upstream/downstream with filters.
Tag sensitive data, attach masking/row filters, and push policies to query engines or gateways.
Index metadata, docs, and usage signals. Provide facets for owner, domain, tag, freshness, and quality.
Add rich docs, ownership, popularity ranking, and glossary terms. Integrate into developer workflows.
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