设计与多媒体

harvard-art-museums-etl-analytics

reason-machines/data-skills

Build ETL pipelines and analytics dashboards using Harvard Art Museums API with Python, SQL, and Streamlit

  • 2018 次安装
  • 5 星标
  • 收录于

安装命令

npx skills add https://github.com/reason-machines/data-skills --skill harvard-art-museums-etl-analytics

SKILL.md

Harvard Art Museums ETL Analytics

Skill by ara.so — Data Skills collection.

This skill enables AI coding agents to build end-to-end data engineering and analytics applications using the Harvard Art Museums API. The project demonstrates real-world ETL pipelines, SQL analytics, and interactive data visualization using Streamlit.

What This Project Does

The Harvard-Artifacts-Collection-Data-Engineering-Analytics-App provides:

  • API Integration: Collect artifact data from Harvard Art Museums API with pagination and rate limiting
  • ETL Pipeline: Extract, transform, and load artifact metadata, media details, and color data
  • SQL Storage: Store structured data in MySQL/TiDB Cloud with proper relational schema
  • Analytics Engine: Execute 20+ predefined analytical SQL queries
  • Interactive Dashboards: Visualize query results using Streamlit and Plotly

The architecture follows: API → ETL → SQL → Analytics → Visualization

Installation

Harvard Art Museums ETL Analytics

Skill by ara.so — Data Skills collection.

This skill enables AI coding agents to build end-to-end data engineering and analytics applications using the Harvard Art Museums API. The project demonstrates real-world ETL pipelines, SQL analytics, and interactive data visualization using Streamlit.

What This Project Does

The Harvard-Artifacts-Collection-Data-Engineering-Analytics-App provides:

  • API Integration: Collect artifact data from Harvard Art Museums API with pagination and rate limiting
  • ETL Pipeline: Extract, transform, and load artifact metadata, media details, and color data
  • SQL Storage: Store structured data in MySQL/TiDB Cloud with proper relational schema
  • Analytics Engine: Execute 20+ predefined analytical SQL queries
  • Interactive Dashboards: Visualize query results using Streamlit and Plotly

The architecture follows: API → ETL → SQL → Analytics → Visualization

Installation