A portable accelerated SQL query, search, and LLM-inference engine, written in Rust, for data-grounded AI apps and agents.
OpenHuFu is an open-sourced data federation system to support collaborative queries over multi databases with security guarantee.
A project focused on tools and best practices to supported federated data collection efforts
A Data Federation Approach to Analyze Behavioral Health and Supplement Healthcare Practice with Community Health Metrics in Alaska
The publication is a collection of sample code to show how data from SAP and non-SAP systems can be made available for training in ANY hyperscaler machine learning service via several layers of abstraction from data connection to training using our FedML Python libraries.
A semantic layer for your data: archmax describes it, you sharpen it, agents query it.
Content for the supergraph.io website
This is a recommended paper list for the course of Privacy Computing.
An Experimental Study on Federated Equi-Joins
Streaming data processor with a simple plugin framework and a modernized SQL interface.
The Data Layer for AI. A high-performance federated SQL engine that gives AI agents governed, zero-copy access to your entire data stack (Postgres, S3, APIs).
A federated GraphQL services example
This example registers the DashboardFederationDataSource from a set of data sources
Kvatch CLI is a lightweight command-line tool that lets you connect multiple data sources, define datasets, and run SQL queries across them — all as if they were a single unified database.
A Trino-to-Trino connector for cross-cluster federated queries.
This example shows how to use the Union operation to combine data into a single federated query.
On-Demand Big Data Integration: A Hybrid ETL Approach for Reproducible Scientific Research
On-Demand Big Data Integration-as-a-Service: A Data Federation Framework for Reproducible Science
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