Metadata Ingestion
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.
Metadata Ingestion
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.
Great Expectations
Great Expectations is a shared, open standard for data quality. It helps data teams eliminate pipeline debt, through data testing, documentation, and profiling. Learn how to configure Great Expectations to integrate with OpenMetadata and ingest your test results to your table service page.Great Expectations
Ingest your test results from Great Expectations.
Metadata Versioning
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.Metadata Versioning
Learn how OpenMetadata keeps track of your metadata evolution.
Best Practices
You want to know some of the best practices around metadata ingestion? This is the right place!Best Practices
Learn the best practices to ingest metadata, both from the UI and using any custom orchestrator.
Deep Dive
Understand how OpenMetadata deploys the workflows that are created from the UI.Ingestion Pipeline UI Deployment
Learn about the Pipeline Service interface and how OpenMetadata handles workflow deployments.