Open, Multi-modal Catalog for Data & AI, written in Rust
-
Updated
Sep 30, 2024 - Rust
Open, Multi-modal Catalog for Data & AI, written in Rust
Unity Catalog AI Model Context Protocol Server
Unity Catalog Explorer is a TypeScript + Next.js based Web UI for the Unity Catalog OSS.
Model Context Protocol (MCP) server for Databricks that empowers AI agents to autonomously interact with Unity Catalog metadata. Enables data discovery, lineage analysis, and intelligent SQL execution. Agents explore catalogs/schemas/tables, understand relationships, discover notebooks/jobs, and execute queries - greatly reducing ad-hoc query time.
A Unity MCP server that allows MCP clients like Claude Desktop or Cursor to perform Unity Editor actions.
Manage Unity Catalog tables with Pydantic Models
Unity Catalog extension for Jupyter Lab
Contains detailed walkthrough and necessary code and commands to set-up unity catalog to run on docker.
Migrate Databricks Unity Catalog to OSS Unity Catalog
Projeto de criptografia integrada multicloud
This project exemplifies a robust Azure streaming data solution tailored for fitness data analysis, leveraging Azure's powerful ecosystem to deliver actionable insights and drive informed decisions in health and wellness management.
A fully containerized multi-service environment to prototype end-to-end ETL workflows.
Github Actions pipeline to Export and Import models from one Unity Catalog Metastore to another Unity Catalog Metastore.
Add a description, image, and links to the unitycatalog topic page so that developers can more easily learn about it.
To associate your repository with the unitycatalog topic, visit your repo's landing page and select "manage topics."