Chronon: A data platform for serving for AI/ML applications
4 hours ago
- #Feature Engineering
- #AI/ML
- #Data Consistency
- Chronon is a platform for AI/ML applications that simplifies data computation and serving.
- It supports batch and streaming computation, scalable backfills, low-latency serving, and observability tools.
- Chronon allows users to define features as transformations of raw data without worrying about complex orchestration.
- The platform offers an API for real-time feature fetching and supports managed pipelines for computation.
- Chronon ensures data freshness and online/offline consistency for model training and evaluation.
- It supports various aggregation types over arbitrary window sizes.
- The tutorial demonstrates creating a training dataset with Chronon using a fabricated online retailer scenario.
- Steps include defining features, backfilling data, uploading to KV stores, and serving for online inference.
- Chronon guarantees temporal accuracy and provides tools to measure consistency between offline and online data.
- The platform is beneficial for online models, avoiding common pitfalls of log-and-wait or warehouse-first approaches.
- Chronon abstracts infrastructure complexity, allowing users to focus on feature definition.
- Contributions to the project are welcome, with details provided in the CONTRIBUTING document.