Data Warehouse Types: A Complete Guide to Architectures and Use Cases
Understand the three primary data warehouse types—EDW, Data Marts, and ODS—and their distinct use cases for scale, latency, and subject scope. Explore how modern architectures like cloud, hybrid, and lakehouse designs extend capabilities for AI workloads and cost efficiency.
* A data warehouse is a centralized repository that stores structured historical data from multiple sources, optimized for complex queries and business intelligence rather than transactional processing. * The three primary types of data warehouses are Enterprise Data Warehouses (EDW), Data Marts, and Operational Data Stores (ODS), each serving distinct organizational needs across scale, latency, and subject scope. * Modern architectures — including cloud-based, hybrid, and lakehouse designs — extend traditional warehouse capabilities to handle structured and unstructured data, enable AI workloads, and reduce the total cost of ownership at scale.