Join us on September 30 at 9:00am PT/12:00pm ET/1600 GMT for a webinar about how a feature store can accelerate machine learning by slashing the time spent on feature engineering by up to 80%.
In this webinar, we will:
- Review Feature Store requirements and the frameworks that have been used to implement them
- Describe the common patterns that existing frameworks use, including the separation of data stores to provide scalability in both online serving and offline training
- Propose a HTAP database approach that simplifies and accelerates the Feature Store architecture
The webinar will be hosted by Ben Epstein, ML Lead, and Sergio Ferragut, Senior Solution Engineer, of Splice Machine.