ETL

Data → Data Engineering

Data Architecture

The structures, standards, and decisions that govern how data is modeled, integrated, stored, protected, discovered, and used across an organization.

Data Architecture

The structures, standards, and decisions that govern how data is modeled, integrated, stored, protected, discovered, and used across an organization.

Motivation

Data Architecture helps teams make explicit decisions, communicate intent, and coordinate work across technical and business boundaries.

Where it fits

Data Architecture belongs to the Data track and the Data Engineering layer.

Mental model

Treat Data Architecture as a structured way to connect goals, constraints, decisions, and implementation consequences.

Common mistakes

Treating it as a title or document rather than an ongoing engineering practice.
Applying a single template without adapting it to the organization and system context.

Requires: Data Model
Relates: Data Lineage
Relates: Data Warehouse