Create ultra-low latency feature store with ElastiCache for Redis
Machine Learning (ML) growth has transformed business operations, necessitating ML integration into key decisions. As data generation speeds up, scalable ML infrastructure is crucial. This post examines how customers use AWS's Amazon ElastiCache for Redis to build online feature stores for critical ML tasks needing ultra-low latency.
It includes a reference architecture for a real-time loan approval app using a credit scoring model with features in an ElastiCache for Redis store. Benefits like high performance, scalability, and security are discussed. The post also guides deploying Feast, an open-source framework, to manage and materialize features to the ElastiCache store.
- Vendor:
- AWS
- Posted:
- Nov 14, 2024
- Published:
- Nov 14, 2024
- Format:
- Type:
- Product Overview
