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Data lake
The Unizin Data Platform's event data pipeline and context data pipeline maintain a data lake that serves as a foundational store for ad hoc inquiry.
The purpose of the UDP Data lake is to act as a comprehensive store for all data imported by a UDP instance for all time. The data lake is composed of two major components:
- 1.The UDP Context store, which hosts all context data in a single, relational database
- 2.The UDP Event store, which hosts all event data in a single table
In this section, we cover the design of the UDP data lake and, for Unizin consortium members, document how they can access each in their SaaS implementation.
Last modified 1mo ago