BigQuery Warehouse Architecture

The design for a four-layer BigQuery warehouse: a landing layer, core data models with declared grains and schema-contract tests, data marts, and a semantic layer on top, plus the approach for unpacking nested orders.

4 layers · declared grains · schema-contract tests · PySpark vs BigQuery SQL pilot planned

Fixing the layers, grains, and contracts up front keeps every later pipeline building toward one model instead of its own.