all-things-risingwave
What are some use cases for online feature stores in ML feature management and serving?
Fred Alonso is interested in exploring the use cases for online feature stores in ML feature management and serving, considering the concept of a 'streaming database' as a good fit for this purpose.
Fr
Fred Alonso
Asked on Jun 02, 2023
- Online feature stores are valuable for real-time ML feature management and serving.
- They enable efficient storage and retrieval of features for machine learning models.
- Online feature stores can support real-time transformation and storage of features.
- They are particularly useful for applications like recommender systems that require quick access to up-to-date features.
- Python UDFs can be used to express custom logics within online feature stores like RisingWave.
Jun 02, 2023Edited by