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Temporal Data Structures with SQLAlchemy and Postgres


SQLAlchemy ( and Postgres ( provide several useful tools that allow us to build and query records through time: temporal models. Combining a need to have robust auditing, as well feature development on per-property history, we can turn “regulatory overhead” into an exciting technical challenge. At Clover Health we have built a small library to automate the task of decorating a model and making it “temporal.” This talk aims to demonstrate the underlying data model and interface for building this system.


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