Procedural Guides
Procedural guides for building, setting up, and operating data and AI systems.
4 pages
DataOps Pipeline Checks
Procedure for adding pipeline checks: data agreements, freshness, volume, schema, business rules, lineage, CI/CD, and recovery.
How to Build Data Pipelines
Build data pipelines from consumer needs through ingestion, modeling, orchestration, testing, observability, and activation.
Notebook Production Workflow
A workflow for turning AI or ML notebooks into production systems with decisions, reusable code, evaluation, serving, and monitoring.
RAG Evaluation Workflow
A practical workflow for RAG eval: user tasks, gold examples, retrieval checks, answer checks, citations, review, traces, and feedback.