Data Platform connectors
Every system a project talks to, registered in one place.
Where data enters the project
Connectors holds every external system the project reads from, the rules applied to incoming data, and the external tools allowed to read results back out.
Three areas divide the work. Sources register the connection to an external system: credentials, network access, and the objects that source exposes. The Analyzer inspects those objects before anything is loaded, extracting metadata and applying blueprint rules so structure and formatting are settled at the door. Consumers point the other way, exposing project data to external tools such as Power BI, an OpenLineage backend, or any SQL client through Trino.
The split between registering a connection and loading its data is deliberate: credentials can stay with one team and data modelling with another. Registration happens here. Loading happens in the Data Processing Engine, into tables held by the Lakehouse Manager.
Start with the key concepts if Connectors is new to you, then register your first source.
Discover the Connectors key concepts
Key concepts→
How sources, analysis and loading fit together across a project.
Sources→
Register an external system and the objects it exposes.
Analyzer→
Extract metadata and apply blueprint rules before data is loaded.
Consumers→
Give an external BI or SQL tool read access to project data.
Go further
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