opendatadiscovery-specification
spline
| opendatadiscovery-specification | spline | |
|---|---|---|
| 2 | 1 | |
| 135 | 614 | |
| 0.7% | 0.8% | |
| 4.6 | 7.8 | |
| 5 months ago | 4 days ago | |
| Scala | ||
| Apache License 2.0 | Apache License 2.0 |
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opendatadiscovery-specification
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Show HN: First open source data discovery and observability platform
Thank you!
Actually everything is working on a push basis in ODD now. ODD Platform implements ODD Specification (https://github.com/opendatadiscovery/opendatadiscovery-speci...) and all agents, custom scripts and integrations, Airflow/Spark listeners, etc are pushing metadata to specific ODD Platform's endpoint (https://github.com/opendatadiscovery/opendatadiscovery-speci...). ODD Collectors (agents) are pushing metadata on a configurable schedule.
ODD Specification is a standard for collecting and gathering such metadata, ETL included. We gather metadata for lineage on an entity level now, but we plan to expand this to the column-level lineage at the end 2022 — start 2023. Specification allows us to make the system open and it's really easy to write your own integration by taking a look in what format metadata needs to be injected in the Platform.
ODD Platform has its own OpenAPI specification (https://github.com/opendatadiscovery/odd-platform/tree/main/...) so that the already indexed and layered metadata could be extracted via platform's API.
Also, thank you for sharing links with us! I'm thrilled to take a look how BMW solved a problem of lineage gathering from Spark, that's something we are improving in our product right now.
spline
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Show HN: First open source data discovery and observability platform
We found a way by leveraging the Spline Agent (https://github.com/AbsaOSS/spline) to make use of the Execution Plans, transform them into a suiting data model for our set of requirements and developed a UI to explore these relationships. We also open-sourced our approach in a
What are some alternatives?
opendatadiscovery-speci
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