Dataops
DataOps and DS/MLOps testing reference for data tiering, Bronze-to-Silver validation...
Install
npx skills add microsoft/hve-core --skill dataops -g -a claude-code -y- Repository
- microsoft/hve-core1.6k
- Category
- Design
- Updated
- 3d ago
- License
- CC-BY-4.0
- Context cost
- Mediumabout 1,697 tokens
- Runs scripts
- Yes, review before use
What it does
DataOps and DS/MLOps testing reference for data tiering, Bronze-to-Silver validation placement, pipeline invariants, pytest categories, and validation-versus-drift. Use when designing, reviewing, or generating data pipelines, transformation code, data validation, or data-science test suites.
DataOps Reference Pack
Goal
Ground pipeline and test generation in the Microsoft CSE engineering playbook so that data tier semantics, validation placement, recovery invariants, and DS/MLOps test technique are applied consistently and attributed accurately.
Inputs
- The pipeline, transformation, validation, or test work under discussion
- The tier of each dataset involved, when the consuming workflow records one
- Existing test layout, package structure, and data-access boundaries
- A data classification produced elsewhere, when sensitivity matters
Reference index
Read only the reference that matches the active concern.
