Popularity

In the Bigeye catalog, you can sort schemas and tables by popularity. This helps prioritize which tables to monitor for data quality and which issues are the highest priority for your team.

Catalog popularity is available for Snowflake, BigQuery and Redshift sources. In order to use this feature, you need to ensure your service account is setup correctly so Bigeye can access source metadata.

Schema Popularity

Schema popularity is measured as the number of SELECT statements run against all tables in the schema in the past week. The most popular schema in the source will be shown with a 100% popularity rating, while a schema with ½ as many queries will be shown with a 50% rating and so on.

If no select statements have been run on the schema in the past week, no popularity score indicator will show for the schema or its underlying tables.

Table Popularity

Within a schema, you can see the popularity for each table. Table popularity is measured as the number of SELECT statements run against the table in the past week. The most popular table in the source will be shown with a 100% popularity rating, while a table with ½ as many queries will be shown with a 50% rating and so on.

If no select statements have been run on the schema in the past week, no popularity score indicator will show for the schema or its underlying tables.

The default days used to measure popularity is seven days. The number of days to consider when determining table popularity can be adjusted for your Bigeye app any time.