{%inlineCallout icon="description" bold="OpenMetadata 0.12 or later" href="/deployment"%}
To deploy OpenMetadata, check the Deployment guides.
{% /inlineCallout %}
To run the Ingestion via the UI you'll need to use the OpenMetadata Ingestion Container, which comes shipped with
custom Airflow plugins to handle the workflow deployment.
### Dagster Versions
OpenMetadata is integrated with dagster upto version [1.0.13](https://docs.dagster.io/getting-started) and will continue to work for future dagster versions.
The ingestion framework uses [dagster graphql python client](https://docs.dagster.io/_apidocs/libraries/dagster-graphql#dagster_graphql.DagsterGraphQLClient) to connect to the dagster instance and perform the API calls
## Metadata Ingestion
{% stepsContainer %}
{% step srNumber=1 %}
{% stepDescription title="1. Visit the Services Page" %}
The first step is ingesting the metadata from your sources. Under
Settings, you will find a Services link an external source system to
OpenMetadata. Once a service is created, it can be used to configure
metadata, usage, and profiler workflows.
To visit the Services page, select Services from the Settings menu.
- **Name**: This field refers to the name of ingestion pipeline, you can customize the name or use the generated name.
- **Pipeline Filter Pattern (Optional)**: Use to pipeline filter patterns to control whether or not to include pipeline as part of metadata ingestion.
- **Include**: Explicitly include pipeline by adding a list of comma-separated regular expressions to the Include field. OpenMetadata will include all pipeline with names matching one or more of the supplied regular expressions. All other schemas will be excluded.
- **Exclude**: Explicitly exclude pipeline by adding a list of comma-separated regular expressions to the Exclude field. OpenMetadata will exclude all pipeline with names matching one or more of the supplied regular expressions. All other schemas will be included.
- **Include lineage (toggle)**: Set the Include lineage toggle to control whether or not to include lineage between pipelines and data sources as part of metadata ingestion.
- **Enable Debug Log (toggle)**: Set the Enable Debug Log toggle to set the default log level to debug, these logs can be viewed later in Airflow.
- **Mark Deleted Pipelines (toggle)**: Set the Mark Deleted Pipelines toggle to flag pipelines as soft-deleted if they are not present anymore in the source system.
{% /extraContent %}
{% step srNumber=8 %}
{% stepDescription title="8. Schedule the Ingestion and Deploy" %}
Scheduling can be set up at an hourly, daily, or weekly cadence. The
timezone is in UTC. Select a Start Date to schedule for ingestion. It is
optional to add an End Date.
Review your configuration settings. If they match what you intended,
click Deploy to create the service and schedule metadata ingestion.
If something doesn't look right, click the Back button to return to the
appropriate step and change the settings as needed.
After configuring the workflow, you can click on Deploy to create the
