Guides ยท Technology
ML Feature Store Basics
Centralize and serve ML features
A feature store standardizes feature definitions, computes them in batch/stream, and serves them consistently for training and online inference with lineage and quality monitoring.
- feature store
- mlops
- features
- online serving
- batch
Define reusable features
Create documented feature definitions with owners and tests.
Handle offline and online
Store historical features for training and serve low-latency versions for inference.
Ensure correctness
Use point-in-time joins to avoid leakage; validate freshness SLAs.
Monitor and govern
Track drift, staleness, and access; deprecate unused features.
Keep Exploring
Guides
API Basics
APIs let software request data or actions from other systems through defined endpoints and responses.
Comparison
RAM vs Storage
RAM handles what your device is actively working on, while storage keeps apps, files, and system data available over time.
How it works
Global Positioning System
GPS uses timing signals from satellites to calculate a receiver's position on Earth.
What it is
Blockchain
A blockchain is a distributed ledger secured by cryptography and consensus nodes.