Observability #

With the introduction of data observability capabilities, your data teams can:

• Gain visibility into the statistics and shape of your data lake tables.
• Work with data consumers to define pass or fail quality rules for consumption.
• Quickly identify potential origins of issues and downstream impact of the issues.

Explore Starburst Galaxy’s observability features.

• Data maintenance jobs run tasks that improve performance and reduce storage in Iceberg tables. See Data maintenance for more information.

• Icehouse LakeOps perform automatic table maintenance tasks on registered catalogs. See Icehouse LakeOps for more information.

• Data quality checks let you assess the quality of data in tables and views. See Data quality for more information.

• Data lineage lets you track the history of tables that were copied or updated from other tables to help you understand how your data has changed over time. See Data lineage for more information.