Discover and monitor your most important data
Using advanced filtering, discover what's important to your team based on metadata like usage, lineage, and tags. Then, automatically add broader and deeper monitoring coverage to your team's most important data.
Filter out the noise and focus on your team's most important data
Metaplane now helps you build and save a filtered view of your team’s most important data. Using this view, you can see the health of tables at a glance and add monitoring to what is most important.
For example, you can create views of your most frequently queried dbt sources, tables that are upstream of critical dashboards, or data that is queried by specific users.
One-click add broad or deep coverage to important filtered views
Using these views, you can one-click add monitoring in bulk to tables or columns. Here are some of our users' common use cases:
- Add freshness and row count monitoring to all dbt sources that are being used
- Add freshness and row count to all tables upstream of your most frequently viewed BI dashboards
- Add distribution monitors to all columns tagged with
ml_inputs - Add a SUM monitor with a rolling time window to all revenue metric columns
- Add freshness to all timestamp columns name
created_at
and many more use cases that are powered by the metadata that Metaplane extracts across your data platform.
Better understand your data platform using metadata
Metaplane currently supports filtering tables and columns by tags, names, locations, lineage (e.g. upstream of critical dashboards), query frequency, query users, and metric values (e.g. tables with certain row counts).
You can set up your view by visiting your Snowflake, BigQuery, or Redshift page and selecting the “Filters” option in the top right hand corner.
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