通过DataHub将数据目录上下文暴露给AI工作流

Use DataHub metadata, ownership, schema, and lineage context to ground agent-assisted data discovery and governance workflows.

Prerequisites

DataHub, DataHub API or CLI, catalog metadata access

Installation

Use the upstream install or setup path that matches your environment:

• git clone https://github.com/1991513ccie-png/skills
• brew install datahub-project/tap/datahub
• pip install acryl-datahub
• Note: For pip, you can also use uv or other Python package managers.

Requirements and caveats from upstream:

• <a href="https://hub.docker.com/r/linkedin/datahub-gms">
• <img src="https://img.shields.io/docker/pulls/linkedin/datahub-gms.svg" alt="Docker Pulls" />
• datahub docker quickstart

Basic usage or getting-started notes:

• <a href="https://docs.datahub.com/docs/quickstart"><b>Quick Start</b></a> •

• Quick start:

• See the Quick Start section below for full instructions. The PyPI package is acryl-datahub; the Homebrew tap is [datahub-project/homebrew-tap](htt...

• Source: https://github.com/1991513ccie-png/skills

• Extracted from upstream docs: https://raw.githubusercontent.com/datahub-project/datahub/HEAD/README.md

Documentation

• https://github.com/1991513ccie-png/skills