Taming the Chaos: Open Standards for Data Contracts and Products Are the Back...
Talkat Open Source Summit Japan + AI_dev: Open Source GenAI & ML Summit + Automotive Linux Summit 2025 · 2025-12-08..12-10·
summary
Claim: open, versioned YAML contracts stop silent failures and make data AI-ready by enforcing schema, SLAs and lineage. The project ships Open Data Contract Standard (ODCS) 3.1 and an Open Data Product Standard (ODPS), uses GitHub for publishing and CI/CD, and offers a data contract CLI plus REST APIs for drift monitoring. ODCS has ~600 stars, ODPS ~41, semantic-versioned contracts detect breaking changes, and embodiments already sync catalogs, observability, and SBOMs in production.
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chapters (17)
- 0:00Introduction
- 1:51Problem with outdated pipelines
- 4:17What is a data contract?
- 8:09YAML contract structure
- 12:26Managing schema drift
- 14:34Tools for contracts
- 14:55Data products and ODPS
- 17:49AI and data quality
- 19:36AI model context
- 21:46Linux Foundation AI project
- 23:16ODCS and ODPS growth
- 24:21Data mesh standards
- 25:27Governance committee
- 27:30ODCS 3.1 features
- 27:50Why open standards matter
- 28:56ROI of contracts
- 30:21Conclusion
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