Data Warehouse Schemas
Data Warehouse Schemas is the landscape of analytical schema patterns used to organize fact and dimension data for business intelligence and reporting. It spans star, snowflake, and galaxy schemas, the Kimball dimensional modeling methodology, the Inmon Corporate Information Factory, Data Vault 2.0, and modern lakehouse table formats like Delta Lake, Apache Iceberg, and Apache Hudi.
Data Warehouse Schemas is tracked in the API Evangelist network. This page is the human-readable profile that sits on top of the machine-readable index we maintain at apis.io.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Data Warehouse Schemas is in the network as a tracked entity. We haven't yet indexed a public API surface for it — when one is published, the artifacts, score, and agent-readiness read will appear here automatically. The source repository is where that profile is built.
← All providers · Data indexed from github.com/api-evangelist/data-warehouse-schemas · machine-readable index on apis.io