The Hopsworks Feature Store is a storage and compute platform for managing, discovering, and sharing feature data for machine learning. It integrates seamlessly with popular platforms for Data Science, such as AWS Sagemaker, Databricks, on-premise Hadoop data lakes, and cloud-based data lakes based on S3.
This webinar is about our take on Feature Stores, including best practices, use cases and:
- How to ensure Consistent Features in both Training and Serving
- Governance, Access-Control, and Versioning
- Create Training Data in the File Format of your Choice
- Unified Online and Offline Storage
- Feature Data Validation
- On-Demand and Cached Features
- Time Travel Queries for Features using Hudi/Hive
- Rich Connectors to S3, Hadoop, JDBC/ODBC Sources and Sinks
Get Started Hopsworks Feature Store
AWS - [ Ссылка ]
On-Premises -[ Ссылка ]
Follow Logical Clocks for more useful content,
Twitter: [ Ссылка ]
LinkedIn: [ Ссылка ]
Star Hopsworks on Github: [ Ссылка ]
