🗺️ Data Engineering · Journey Playbooks

Playbook: Warehouse from zero to trusted

Contracted schemas, tested tables, dimensional models analysts rely on.

journey~75 minData EngineersAnalytics EngineersPlatform Data Teams

Journey Steps

1Step 1 — Evolve schemas without breaking consumers: start with "Publish schema contracts per dataset with owner + compatibility mode (backward default)"
2Step 2 — Apply dimensional modeling pragmatically: start with "Declare the grain of every fact table in its documentation header"
3How it fits together: Pick the DQ variant matching your platform. Contracts precede consumers.

Commands

Install all referenced skills

$ npx skills add aniruddhaadak80/skills --skill pipelines-batch-schema-evolution-contracts && npx skills add aniruddhaadak80/skills --skill streaming-modeling-dimensional-modeling-refresh

Tags

#playbook#journey#data-engineering

Install this skill

$ npx skills add aniruddhaadak80/skills --skill playbook-data-engineering-warehouse-zero -a opencode

SKILL.md

# Playbook: Warehouse from zero to trusted

> Contracted schemas, tested tables, dimensional models analysts rely on.

## When to Use This Skill

Contracted schemas, tested tables, dimensional models analysts rely on.

## Steps

1. Step 1 — Evolve schemas without breaking consumers: start with "Publish schema contracts per dataset with owner + compatibility mode (backward default)"
2. Step 2 — Apply dimensional modeling pragmatically: start with "Declare the grain of every fact table in its documentation header"
3. How it fits together: Pick the DQ variant matching your platform. Contracts precede consumers.

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