Open, Multi-modal Catalog for Data & AI, written in Rust

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.

Unity Catalog AI Model Context Protocol Server

Unity Catalog Explorer is a TypeScript + Next.js based Web UI for the Unity Catalog OSS.

A Unity MCP server that allows MCP clients like Claude Desktop or Cursor to perform Unity Editor actions.

Dockerfile for Unity Catalog image

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.

This project demonstrates the development of a scalable end-to-end data pipeline for processing and reporting retail order data using Azure Cloud services, Delta Lake architecture, and Databricks.

Github Actions pipeline to Export and Import models from one Unity Catalog Metastore to another Unity Catalog Metastore.

This project presents a scalable end-to-end data pipeline designed for processing and analysing car sales data using the Azure Cloud and Databricks ecosystem.

Sales Data Lakehouse Pipeline using Azure & Databricks