Prepare and Store Data
Feature Store
Manage the entire feature lifecycle, from development to deployment, with a fully managed feature store, allowing you to focus on building and delivering innovative features.
Key Capabilities
Transform
Streamline the creation of feature values through the seamless orchestration and processing of data pipelines. Utilize a unified approach to define transformations across various data sources while maximizing efficiency.
Store
Eliminate the risk of training-serving skew with a sophisticated storage strategy that maintains consistent feature values across offline and online storage. Optimize for large-scale, cost-effective training data retrieval with an offline store, while leveraging an online store for lightning-fast, low-latency data access during online serving.
Serve
Experience fast, simple and reliable feature serving. Generate high-quality training data and automatically fill in missing features in your training sets. Protect the integrity of your data by properly managing it across training and serving environments.
Main Benefits
Feature Collaboration
Training-Serving Skew
Source of Truth
Data Ingestion
Data Warehouse Sourced Features
Multiple Data Sources
Streaming Aggregation
Feature Extraction
Training API
using the Training API which is optimized for time travel and large datasets
The Training API refers to the portion of the feature store that is used to store and manage the historical versions of features that have been computed and stored in the feature store.
Serving API
This capability is designed for production use, with the ability to support large scale, high throughput, and low latency. This makes the Serving API ideal for applications that require immediate access to the most current data, such as real-time personalization, fraud detection, and anomaly detection, and many more.
