Dong Lin <lindon...@gmail.com>于2023年8月14日 周一09:02写道：
> Hi all, > > I am writing this email to promote our open-source feature store project ( > FeatHub <https://github.com/alibaba/feathub>) that supports using Flink > (production-ready) and Spark (not production-ready) to compute real-time / > offline features with pythonic declarative feature specifications. > > To my best knowledge, this is the most mature open-source project that > supports using Flink as the compute engine. And it is also the only project > that supports multiple compute engines (e.g. Flink, Spark) wth > engine-agonistic feature definition SDK so that you can choose the best > compute engine that meets your needs (e.g. throughput vs. latency), without > changing your programming code, achieving a similar design goal as Apache > Beam. > > As another killer feature, we recently supported application-level metrics > so that you can define metrics (e.g. ratio of values that is null in the > last 10 minutes) together with your features and FeatHub can automatically > compile/compute/export these metrics to Prometheus. > > Please feel free to learn more about FeatHub by reading its GitHub main > README and doc ( > https://github.com/alibaba/feathub/tree/master/docs/content). We have > also provided multiple demos at > https://github.com/flink-extended/feathub-examples so that you can try > out FeatHub using docker-compose easily. > > Cheers, > Dong > >
