data-inspect

You can inspect your active dataset schema by requesting a schema overview, which presents a full table catalog including column names, data types, nullability, and row counts. It assembles this cached view by reading schema metadata rather than executing live database queries.

You can drill into a specific table by using the /data {table} command to inspect per-table details. This returns column names, data types, nullability, and key relationships without requiring a direct database query.

Yes, you can explore your dataset schema without running database queries because the schema view is assembled from cached metadata files. It reads the active dataset's schema definition to present tables, columns, and relationships without executing queries against the database.

Dataset schema discovery is the process of identifying tables, columns, row counts, and key relationships within your active dataset. You need to inspect table relationships during data exploration to verify schema completeness and understand structural connections before starting analysis.

Yes, schema inspection supports quick health checks before data analysis by verifying schema completeness. You can review the table catalog, row counts, column nullability, and relationships to ensure the active dataset meets your analysis requirements.