Architecture position pack for enterprise data platforms -- strategy, blueprints, and decision frameworks for data architects and technology leaders.
- Business and technology leaders who need to understand where enterprise data platforms end and operational platforms begin
- Data architects and platform engineers who need blueprints, decision frameworks, and anti-patterns to make and defend architecture decisions
| Section | What It Covers |
|---|---|
| What EDP Is | The problems an enterprise data platform solves and the problems it must not solve |
| EDP vs Operational | Side-by-side comparison across 12 dimensions |
| Anti-Patterns | What breaks when EDP becomes everything |
| Target State Blueprint | Layered enterprise architecture with cloud-specific variants |
| AI/ML Platform | How EDP feeds the ML/AI world |
| Glossary | Precise definitions for 14 commonly confused terms |
| Repo | What It Is |
|---|---|
| reference-data-platform-gcp | Production-grade EDP implementation on GCP (Data Vault 2.0, dbt, BigQuery, Terraform) |
| dbt-data-vault-starter | Opinionated dbt project template for Data Vault 2.0 on BigQuery |
This repo is the strategy layer. The repos above are the implementation layer.
pip install -r requirements.txt
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