TLDR Tech / DevOps
Introducing Feature Views (4 minute read)
Databricks launched a public preview of Feature Views, a managed framework that lets ML teams define features once and automatically handles the pipelines for both training and real-time serving, eliminating the duplicate logic and infrastructure overhead that typically plagues production deployments. The system supports streaming features from Kafka with 200ms end-to-end latency and integrates with Unity Catalog for governance, making it easier to deploy features for use cases like fraud detection and personalization.
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