2
Most read
15
Most read
16
Most read
OpenMetadata Webinar on Custom Connectors
● Schema-First
● Metadata APIs
● JSON Schema
OpenMetadata Webinar on Custom Connectors
Company Context
● Internal systems
built in-house
● External systems
● No out of the box
solution
+ Flexibility
- Abstraction
API Calls
Python & Java
SDKs
Ingestion
Framework
How do we bring Internal Systems into OpenMetadata?
- Flexibility
+ Abstraction
Creating a Table with the API
Creating a Table with the API
More info at https://docs.open-metadata.org/swagger.html
PROS ✅ CONS ❌
● Close to no
requirements
● Verbose
● No safeguards
Creating a Table with the Python SDK
Creating a Table with the Python SDK
Java - https://www.jsonschema2pojo.org/
Python - https://github.com/koxudaxi/datamodel-code-generator
Typescript - https://www.npmjs.com/package/quicktype
Creating a Table with the Python SDK
More info at https://docs.open-metadata.org/sdk/python
PROS ✅ CONS ❌
● Metadata
standard
● Helper methods
● Language-specific
Creating a Custom Connector
Source Processor Sink
● Ingestion
● Lineage
● DBT
● Profiler
● …
Creating a Custom Connector
What are the Benefits?
● Only focus on extracting metadata
● The Ingestion Framework manages how to schedule
and write the metadata
● Run and schedule the ingestion directly from the UI
Creating a Custom Connector
PROS ✅ CONS ❌
● Focus on
business logic
● Integrated with
the full Ingestion
Framework
● Less flexibility
Read a CSV
Validate its
contents
Transform to
the OM
standard
Send it to the
next step in the
workflow
Demo: Creating a Custom Connector
DEMO:
Creating a Custom Connector
https://github.com/open-metadata/openmetadata-demo/
tree/main/custom-connector
OpenMetadata Webinar on Custom Connectors

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OpenMetadata Webinar on Custom Connectors

  • 2. ● Schema-First ● Metadata APIs ● JSON Schema
  • 4. Company Context ● Internal systems built in-house ● External systems ● No out of the box solution
  • 5. + Flexibility - Abstraction API Calls Python & Java SDKs Ingestion Framework How do we bring Internal Systems into OpenMetadata? - Flexibility + Abstraction
  • 6. Creating a Table with the API
  • 7. Creating a Table with the API More info at https://docs.open-metadata.org/swagger.html PROS ✅ CONS ❌ ● Close to no requirements ● Verbose ● No safeguards
  • 8. Creating a Table with the Python SDK
  • 9. Creating a Table with the Python SDK Java - https://www.jsonschema2pojo.org/ Python - https://github.com/koxudaxi/datamodel-code-generator Typescript - https://www.npmjs.com/package/quicktype
  • 10. Creating a Table with the Python SDK More info at https://docs.open-metadata.org/sdk/python PROS ✅ CONS ❌ ● Metadata standard ● Helper methods ● Language-specific
  • 11. Creating a Custom Connector Source Processor Sink ● Ingestion ● Lineage ● DBT ● Profiler ● …
  • 12. Creating a Custom Connector What are the Benefits? ● Only focus on extracting metadata ● The Ingestion Framework manages how to schedule and write the metadata ● Run and schedule the ingestion directly from the UI
  • 13. Creating a Custom Connector PROS ✅ CONS ❌ ● Focus on business logic ● Integrated with the full Ingestion Framework ● Less flexibility
  • 14. Read a CSV Validate its contents Transform to the OM standard Send it to the next step in the workflow Demo: Creating a Custom Connector
  • 15. DEMO: Creating a Custom Connector https://github.com/open-metadata/openmetadata-demo/ tree/main/custom-connector