This platform helps build and maintain data assets like ML models and tables. You declare assets using Python functions, and it handles execution and freshness. Pick it for its declarative model and built-in lineage.
Manages data asset development, production, and observation.
Data engineers and ML engineers building and managing production data pipelines.