Summary
Databricks has introduced Feature Views, a managed framework that allows practitioners to define an ML feature once in Unity Catalog and use it consistently across training, batch inference, and real-time serving. This release eliminates training-serving skew and complex infrastructure management, enabling users to rapidly productionize features with a few API calls and serve streaming features at a 200ms end-to-end p99 latency.
Summary generated by brickster.ai. For the full article, follow the source link above.
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