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Bigeye’s New Metadata Metrics Offers Instant Data Observability for Entire Data Warehouse

Data teams no longer need to choose between wide or deep coverage.

Note: TDWI’s editors carefully choose vendor-issued press releases about new or upgraded products and services. We have edited and/or condensed this release to highlight key features but make no claims as to the accuracy of the vendor's statements.

Bigeye, the creators of a leading data observability platform, have released Metadata Metrics, which provides instant coverage for the entire data warehouse from the moment customers connect.

Bigeye can monitor broadly across tables and deeply into the most critical data sets, reducing the number of expensive outages affecting business-critical applications.

Instant Data Observability

Metadata Metrics scans existing query logs to automatically track key operational metrics including the time since tables were last loaded, the number of rows inserted, and the number of read queries run on every data set. Metadata Metrics takes only minutes to set up, with zero manual configuration and almost no additional load to the warehouse.

With Metadata Metrics enabled, data teams will be the first to know about stale data, table updates that are too big or too small, or changes in table utilization, thanks to Bigeye’s best-in-class anomaly detection system.

T-Shaped Monitoring—Wide and Deep

Bigeye is the creator of T-shaped monitoring, a unique approach to data observability that tracks fundamentals across all data while applying deeper monitoring on the most critical data sets, such as those used for financial planning, machine learning models, and executive-level dashboards. This approach ensures Bigeye customers are covered against the greatest number of “unknown unknown” data outages.

Here’s how it works:

  1. Enable Metadata Metrics to instantly track the basics across all data in the warehouse.
  2. Go deep on each business-critical data set using a blend of metrics that Bigeye suggests for each table from its library of 70+ prebuilt data quality metrics.
  3. Take it even further by adding custom metrics with templates and virtual tables to ensure custom business logic is being monitored for defects.

T-shaped monitoring gives data teams peace of mind with monitoring across the entire warehouse, 24/7. With Metadata Metrics, it’s even faster to set up and deploy broad coverage without the configuration hassle. As a result, Bigeye customers can detect both simple problems, such as stale data, and even the most subtle errors in any critical data set.

Metadata Metrics is available to all Bigeye customers starting today. More information is available at

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