Materializing / tiling windowed aggregations in Chalk

Machine learning teams often build and maintain separate pre-aggregation pipelines that relay data—as standalone features—into a feature store to reduce the latency of computing expensive features. With Chalk, teams don’t need to spin up separate pipelines. Developers can materialize aggregations to improve performance, without compromising on flexibility, with just a single line of code: