Data Warehouse Architecture Diagram
Show how sources, staging, storage layers and BI tools fit a modern warehouse.
Free to start · Fully editable · Export to SVG, PNG, GIF & MP4
What's in this template
7 connected components you can rename, recolor, and extend with AI.
A data warehouse architecture diagram shows the layered design of a central analytical repository. It includes source systems feeding an ingestion layer, a staging zone, core warehouse storage organized into fact and dimension tables, a semantic or metrics layer, and downstream BI and reporting tools. A query engine and metadata service sit at the center, coordinating storage and access.
Data architects, analytics engineers and platform teams use this diagram when designing or modernizing a warehouse on Snowflake, BigQuery or Redshift. It is ideal for explaining the architecture to stakeholders, planning a star schema, or showing how raw inputs become governed, query-ready tables for business intelligence.
Great for
- Data platform design proposals
- Analytics engineering docs
- Cloud migration planning
- Stakeholder architecture reviews
- Schema modeling discussions
Frequently asked questions
What is a data warehouse architecture?+
It is the layered design of a centralized analytical database, covering how data is ingested, staged, stored in fact and dimension tables, modeled in a semantic layer, and served to BI tools.
What are the components of a data warehouse?+
Core components include source systems, an ingestion and staging layer, the warehouse storage with a star or snowflake schema, a semantic/metrics layer, a query engine, and BI and reporting tools.
What is the difference between a data warehouse and a data lake?+
A data warehouse stores structured, modeled data optimized for SQL analytics, while a data lake stores raw data of any format. Many teams combine both in a lakehouse architecture.
What is a star schema?+
A star schema organizes data into a central fact table containing measurements, surrounded by dimension tables that describe the context, making analytical queries fast and intuitive.
Related templates
View all Data & Analytics →ETL Pipeline Diagram Template
Visualize how raw data is extracted, transformed, and loaded into a data warehouse
Streaming Data Pipeline Diagram
Map real-time event flow from producers through a broker to stream processors and sinks
Data Lake Architecture Diagram
Show raw, refined and curated zones of a data lake feeding analytics and ML
Data Mesh Architecture Diagram
Show domain-owned data products connected by a self-serve platform and governance
BI Dashboard Architecture Diagram
Map how warehouse data, a semantic layer and caching power business dashboards
Data Governance Framework Diagram
Map governance roles, policies and controls from council down to data assets
Microservices Architecture Diagram
Map independent services, an API gateway, databases and a message bus in a microservices system
Serverless Architecture Template
Map API Gateway, Lambda functions, managed databases and event triggers in a serverless app
Make it yours in seconds
Open the data warehouse architecture diagram in the Infogiph canvas, then edit, animate, and export.
Use this template