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Epic

Epic

BETA
Feature List
✓ Metadata
✕ Data Profiler
✕ Data Quality
✕ dbt
✕ Lineage
✕ Column-level Lineage
✕ Query Usage
✕ Owners
✕ Tags
✕ Sample Data
✕ Reverse Metadata (Collate Only)
✕ Auto-Classification
✕ Stored Procedures
In this section, we provide guides and references to use the Epic FHIR connector. Configure and schedule Epic metadata workflows from the OpenMetadata UI:

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How to Run the Connector Externally

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. If, instead, you want to manage your workflows externally on your preferred orchestrator, you can check the following docs to run the Ingestion Framework anywhere.

External Schedulers

Get more information about running the Ingestion Framework Externally

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Requirements

To run the Epic ingestion, install the Python package: 
pip3 install "openmetadata-ingestion[epic]"

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Metadata Ingestion

All connectors are defined as JSON Schemas. Here you can find the structure to create a connection to Epic. The ingestion workflow itself follows the general workflow schema.

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1. Define the YAML Config