Define your monitoring logic once - like tracking nulls in *_id fields or monitoring duplicate counts in email fields - and apply it to the relevant tables across your data.
Choose tables individually, by warehouse, database, or schema, and use filters like table name patterns, asset tags, and activity level. Use pattern-based field matching (e.g, "ending with _id" or "containing timestamp") to apply metrics across many tables.
As new tables are created that match your criteria, they're automatically included - so your coverage scales with your data!
See our docs for more details: https://docs.getmontecarlo.com/docs/metric-monitors#creating-multi-table-metric-monitors











