Meetup in Prague, January 4, 2023
We'll be at Charles University in Prague on January 4th, 2023 to present a talk regarding the implemention of the Feature Store. Our very own Kuba Háva, Lead Software Engineer will be the main presenter.
For more information and to sign up, please follow this link.
H2O.ai's Feature Store is a platform used to store and manage curated feature sets. Feature set is an abstraction over a dataset and can consist of one or more features. A single feature corresponds to a single column in a dataset.
In this talk we discuss the need for such a tool together with its architecture. We also explain how we solved various problems or challenges common for components handling big data such as scalability, high-availability and data consistency.