Data lake
Last updated
Last updated
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:
The UDP Context store, which hosts all context data in a single, relational database
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.
