The Catalog tab on the top menu displays a catalog of sources that Bigeye can monitor. Below we will walk through the nested structure and features of the Catalog.

Catalog: All Sources

Here we have the catalog of sources that Bigeye can monitor.

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At the all sources level, you can drill down into a particular database or data warehouse. As an aid, you can use type-ahead search against source names and sort source by schemas, tables metrics, and issues. This sorting can help you to understand which databases or data warehouse have the most monitoring already, and to see which schemas may have Bigeye-detected issues present.

If you are an admin you will see an add source button where you can add new data sources and integrations with different tools.

Catalog: Source

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Here we have a listing of all of the schemas within a database or data warehouse source.

At the database or data warehouse source level, you can drill down into particular schemas. You can search for schema names, and sort the schemas by popularity, number of tables, columns, metrics, and issues. This sorting can help you to understand which schemas have the most monitoring already, and to see which tables may have Bigeye detected issues present.

On the source pages, you can also select the metrics, issues, or autometrics tabs to interact with all of those items associated with the source. Finally you can perform a refresh operation to update all the metadata gathered from all of the source’s schemes and tables.

Catalog: Schema

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Here we have a listing of all the tables within a schema.

At the schema level, you can drill down into particular tables. You can search for table names, and sort the tables by the last refresh, popularity, row creation time, as well as number of columns, metrics, issues, and autometrics. This sorting can help you to understand which tables have the most monitoring already, and to see which tables may have Bigeye-detected issues present.

On the schema pages, you can also select the metrics, issues or autometrics tabs to interact with all of those items associated with the schema. Finally you can perform a refresh operation to update all the metadata gathered from all of the schemas’ tables.

Catalog: Table

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Here we have a listing of all the columns within a table.

At the table level, you can drill down into particular columns. You can search for column names, and sort the columns by type, as well as number of metrics, issues, and autometrics. This sorting can help you to understand which tables have the most monitoring already, and to see which tables may have Bigeye-detected issues present.

On the table pages, you can also select the metrics, issues or autometrics tabs to interact with all of those items associated with the table.

If enabled, you may have a preview tab where you can view a sample of the data in the table.

If enabled, you may have a lineage tab where you can view the table’s upstream and downstream dependencies. [beta]

Finally you can perform a refresh operation to update all the metadata gathered from all of the schemas’ tables.

Catalog: Column

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Here we have a listing of all the metrics deployed on a column.

At the column level, you can drill down into particular metrics. You can search for metric names, and sort the metrics by name, by health and by last updates. You can also see a mini chart that you can hover over to get more detailed metric information in a tool tip.

At column level you can create new metrics on the column, as well as edit, delete, mute metrics as well as add a metric to an SLA.

On the column pages, you can also select the metrics, issues, or autometrics tabs to interact with all of those items associated with the column.

Catalog Index Refresh

Sources, schemas, and tables have a refresh button. You can use it to trigger Bigeye to perform a catalog indexing refresh that re-reads the information schemas in the target databases, target data warehouses, target schemas, or target tables. Use this to get Bigeye to get the latest changes on demand when you are creating new tables/schemas, dropping tables/schemas, or updating tables/schemas. Without explicitly invoking this refresh, you’d may have to wait up to ~24 hours for the refresh to happen.

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Note: The Catalog Index Refresh feature is being rolled out to all new customers and existing customers. If you want this capability but do not see it, please reach out to your account team.