📄️ Architecture
PDQ combines advanced automation with end-to-end active metadata management. It is the foundation for data operations that are efficient, transparent and fully automated.
📄 ️ Platform guide
PDQ follows a layered data platform architecture where data flows through four distinct stages — from raw source extraction to quality-monitored warehouse models. Each layer has a clear responsibility and well-defined handoff to the next.
📄️ Data management capabilities
A single list of what PDQ does for data management, grouped by the job it does rather than by the component that does it. Use it to check whether a capability exists, then follow the link to where it is documented in detail.
📄️ What lands in the target environment
Most automation tools deliver rows. PDQ delivers a described, constrained and classified schema — and the rows.
📄️ Differences between target platforms
PDQ generates SQL for six target platforms from one model. The model does not change when the target does — the same objects, attributes, relationships, business keys and classifications produce the same warehouse shape everywhere.