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Table usage shows how your data assets are actually consumed in the warehouse—how often they are queried and by who—based on query activity over a rolling 30-day window. That visibility helps you prioritize incidents and data quality on the assets that drive the most load and downstream impact, and get a clearer end-to-end view of what is happening in production.

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Usage in the Catalog

Open the Catalog and select the Metadata tab. Table assets include a Usage column with a usage indicator so you can compare relative activity at a glance. Catalog Metadata tab showing the Usage column with usage indicators and a tooltip with percentile, date range, query count, and unique users

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Tooltip details

Hover the usage indicator for a specific asset to open a tooltip with:
  • Percentile rank — How this table’s query volume ranks against every other table. For example, 72nd percentile means its query volume is greater than or equal to that of 72% of tables in your environment.
  • Reporting period — The exact 30-day date range the metrics are based on (for example, March 15 – April 14, 2026).
  • Query count — Total queries against the table in that period.
  • Unique users — Distinct users who ran queries against the table in that period.

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AI agents

The same usage signals are available as context to Elementary AI agents, so you can ask natural-language questions that depend on real consumption—for example, “Show me the top 5 most used tables.” AI assistant response with a ranked list of the most queried tables
  • Data Catalog — Overview of catalog navigation, metadata editing, and collaboration workflows.
  • AI agents — How Elementary’s agents use catalog and observability context.