Explorer enables you to navigate and focus on your data asset hierarchy and see data profiles, auto metrics, and data quality metrics associated with those data assets. Each workspace has its own Explorer tree, so when you add a datasource you can analyze its data quality inside the workspace separately from other workspaces. Thus, different groups can perform different data quality analysis on the same data, tracking what's important to them without cluttering up the Explorer trees of other groups.
When you select the Explorer tab, the Explorer tree appears on the left side of the main window. As you add datasources, they appear in the Explorer tree. You can select a datasource in the tree to configure its schemas, adding them to the tree. You can then select the schemas to configure their tables, and then the tables to configure their columns, adding them to the Explorer tree.
When you select a table or column in the Explorer tree, tabs appear in the main window, beside the tree. These Explorer tabs display data quality information about the selected asset. There are three tabs: Table Health (which only appears when you select a table), Data Profile, and Auto Metrics.
The Table Health tab shows you an overview of the health of the selected table, based on the table's metrics. Only metrics with monitors contribute to the health summary of a table— each monitored metric appears green (healthy) if there are no incidents and red (unhealthy) if incidents have occurred. Unmonitored metrics appear gray (neither healthy nor unhealthy).
This feature is in development and currently offered as beta— you can use it as-is, but improvements are underway to add more clarity and functionality.
The Data Profile tab shows the current data profile for the selected table or column. On this tab, you can enable/disable data profiles for tables that you add to the Explorer tree, and also generate new data profiles.
You can enable autometrics from the Explorer tree after you add data assets: when you select a data asset in the tree, the main window displays a button for enabling/disabling autometrics (metadata metrics and deep autometrics).
- For a datasource, you can enable/disable all metadata metrics for tables in its schemas.
- For a schema, you can enable all metadata metrics for its tables.
- For a table, you can enable/disable all its metadata metrics, and you can enable/disable each of its deep autometrics.
Updated 28 days ago