RisingWave Community - Can RisingWave handle historical and real-time data consistently for streaming aggregations used in ML models?

RisingWave is designed to address the challenge of handling historical and real-time data consistently for streaming aggregations.
It includes both batch and streaming engines along with S3-based storage, allowing users to use the same SQL query for both streaming and batch feature engineering.
RisingWave aims to close the gap between batch-oriented training and streaming-oriented inference/serving, making it easier to work with data in both formats.
The platform also collaborates with Voltron Data to innovate the ML/feature engineering platform, providing solutions for handling historical data effectively.
By leveraging RisingWave, users can streamline their workflow and eliminate the need to rewrite queries in multiple frameworks.