3 Repos
Registering SQL tables or views as data sources for feature retrieval and processing.
Distinguishing note: No candidate covers registering a Trino table as a data source for a feature store; candidates are about model-as-a-table or authentication services.
Explore 3 awesome GitHub repositories matching data & databases · SQL Query Sources. Refine with filters or upvote what's useful.
Feast is an open-source feature store for machine learning that provides a central platform for defining, storing, and serving features across both training and inference workflows. It operates as a declarative system where feature definitions are written as code in Python files, synchronized to a central registry, and made available for low-latency online retrieval or point-in-time correct historical joins for training datasets. The project abstracts storage behind a pluggable architecture, allowing offline and online backends to be swapped without changing retrieval logic, and coordinates ma
Points feature stores to Trino tables or views so their columns become available as feature values.
Hazelcast is a distributed data platform that combines an in-memory data grid with a stream processing engine to support real-time analytics and event-driven applications. It functions as a partitioned, distributed key-value store that replicates data across cluster nodes to provide low-latency access and high availability. The platform also serves as a distributed SQL query engine, allowing users to execute standard SQL statements against both in-memory datasets and external data sources. What distinguishes Hazelcast is its use of a distributed consensus subsystem to maintain strongly consis
Defines metadata about data models and access patterns to enable the SQL service to query specific sources.
Defines which data to extract from SQL sources by placing .sql files in the source folder.