The goal of OpenMetadata is to serve as a centralised platform where users can gather and collaborate around data. This is possible thanks for different workflows that users can deploy and schedule, which will connect to the data sources to extract metadata.
Different metadata being ingested to OpenMetadata can be:
- Entities metadata, such as Tables, Dashboards, Topics...
- Query usage to rank the most used tables,
- Lineage between Entities,
- Data Profiles and Quality Tests.
In this section we will explore the different workflows, how they work and how to use them.
Learn more about how to ingest metadata from dozens of connectors.Metadata Profiler
To get metrics from your Tables=Metadata Data Quality Tests
To run automated Quality Tests on your Tables.Metadata Usage
To analyze popular entities.Metadata Lineage
To analyze relationships in your data platform.
One fundamental aspect of Metadata Ingestion is being able to analyze the evolution of your metadata. OpenMetadata support Metadata Versioning, maintaining the history of changes of all your assets.
You want to know some of the best practices around metadata ingestion? This is the right place!
Learn the best practices to ingest metadata, both from the UI and using any custom orchestrator.
Understand how OpenMetadata deploys the workflows that are created from the UI.