Data Architecture & Governance
The design layer above data engineering: modeling standards, governance, and organization-wide data structure.
Subject: Data & Statistics · Roles: Data Architect
Concepts
Data Modeling Standards
Organization-wide conventions for naming, structuring, and typing data so it's consistent across every pipeline and team.
Data Governance Fundamentals
Who owns which data, who can access it, and how quality and compliance are enforced across an organization.
Master Data Management
Maintaining one authoritative version of core business entities — customers, products — across many systems.
Data Catalog & Lineage
Making data discoverable and traceable — what a dataset means, where it came from, and what depends on it.
Data Mesh vs. Monolithic Warehouse
Centralized data ownership by one team versus federated, domain-owned data products — and the organizational tradeoff between them.
Schema Evolution & Versioning
Changing a shared schema without breaking every downstream consumer that depends on it.