Scaling Feature Engineering with Dagger
Ravi will discuss how Dagger can be used with feature stores to empower data scientists to make feature engineering self-service.
Ravi will discuss how Dagger can be used with feature stores to empower data scientists to make feature engineering self-service.
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.
