Scaling Feature Engineering with Dagger

Dagger is an easy-to-use, configuration over code, cloud-native framework built on top of Apache Flink for stateful processing of real-time streaming data.

In this talk, Ravi Suhag will discuss how Dagger can be used with feature stores to empower data scientists to make feature engineering self-service. It will also cover the end to end architecture of building an ML pipeline with Dagger to provide a cohesive feature engineering workflow.

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