Explore data sources and schemas

1. Open Data Quality & Observability.
2. On the main toolbar, click → Data Quality.
   Monitoring Overview opens.
3. Click a data source in the data explorer.
The schema overview table is shown to the right of the data explorer.
4. You can either click to expand the available schemas within the data source or review the schema details to the right of the data explorer.
When you click , an overview table of the available schemas expands below the data source name.

Schema overview table

Example The following screenshot and table show the various components of the job overview.

Element number	Element name	Description
	Data source metadata and breadcrumbs	The data source metadata shows: The aggregated data quality score of all schemas in your data source. The number of schemas in your data source. The percentage of monitoring coverage for your data source, which measures the percentage of tables in your data source with at least one active job. Related assets. The breadcrumbs above the data source metadata allow you to view the source of your data and quickly navigate to the data source.
	Schema overview table	High-level monitoring details about your schema. Each column contains a different data point that contributes to how completely your data is monitored, and allows you to take action, such as add quick monitoring, accordingly. The available columns include: Schema name Number of tables within the schema Number of jobs created on tables within the schema Total breaking records observed in jobs Total active monitors Aggregate data quality score across all jobs on tables within the schema Related Assets Add quick monitoring (+) to a schema

1. Open Data Quality & Observability.
2. On the main toolbar, click → Data Quality.
   Monitoring Overview opens.
3. Click a data source in the data explorer.
The schema overview table appears to the right of the data explorer.
4. You can either click to expand the available schemas within the data source or review the schema details to the right of the data explorer.
When you click , an overview of the available schemas expands below the data source name.
5. Click to expand the available tables within the schema or click the name of a table from the schema details table to the right of the data explorer.
The job overview table appears to the right of the data explorer.

Job overview table

The job overview table, located to the right of the data explorer, shows key high-level details about the monitoring coverage and health of the data in the tables of your schema. This overview provides a quick understanding of jobs that have run or are scheduled to run, who is assigned to each job, and allows you to take further action.

Example The following screenshot and table show the various components of the job overview.

Element number	Element name	Description
	Data source metadata and breadcrumbs	The data source metadata shows the number of Data Quality Jobs that have run on tables in your schema. It also shows the percentage of monitoring coverage for your schema, which measures the percentage of tables in your schema with at least one active job. The breadcrumbs above the data source metadata allow you to view the source of your data and quickly navigate to the data source or schema.
	Add quick monitoring	Opens the quick monitoring dialog, where you can create basic data profiling jobs on the tables in your schema. Tip We recommend adding quick monitoring for basic observability before creating a more advanced Data Quality Job on a table.
	Job overview table	High-level monitoring details about your schema. Each column contains a different data point that contributes to how completely your data is monitored, and allows you to take action, such as add quick monitoring, accordingly. The available columns include: The job name with a link to its Data Quality Job The table against which the job was created Total breaking records observed in the Data Quality Job with a link to its notifications Total active monitors Aggregate data quality score across all jobs on tables within the schema The date and time of the last run of a Data Quality Job, and whether it was a scheduled run Related Assets The Collibra UUID of the job's Data Quality Manager Edit () or delete () a Data Quality Job