数据与研究

harvard-art-museums-data-engineering-app

reason-machines/data-skills

End-to-end data engineering and analytics application for Harvard Art Museums API with ETL pipelines, SQL analytics, and Streamlit visualization

  • 1861 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-data-engineering-app

SKILL.md

Harvard Art Museums Data Engineering App

Skill by ara.so — Data Skills collection.

This project provides an end-to-end data engineering and analytics application built on the Harvard Art Museums API. It demonstrates real-world ETL pipelines, SQL database design, analytical queries, and interactive visualization using Streamlit.

What This Project Does

The application follows a complete data pipeline: API → ETL → SQL → Analytics → Visualization

  • Collects artifact data from Harvard Art Museums API with pagination and rate limiting
  • Transforms nested JSON into normalized relational tables
  • Loads data into MySQL/TiDB Cloud databases
  • Analyzes with 20+ predefined SQL queries
  • Visualizes results through interactive Plotly dashboards in Streamlit

Installation

Harvard Art Museums Data Engineering App

Skill by ara.so — Data Skills collection.

This project provides an end-to-end data engineering and analytics application built on the Harvard Art Museums API. It demonstrates real-world ETL pipelines, SQL database design, analytical queries, and interactive visualization using Streamlit.

What This Project Does

The application follows a complete data pipeline: API → ETL → SQL → Analytics → Visualization

  • Collects artifact data from Harvard Art Museums API with pagination and rate limiting
  • Transforms nested JSON into normalized relational tables
  • Loads data into MySQL/TiDB Cloud databases
  • Analyzes with 20+ predefined SQL queries
  • Visualizes results through interactive Plotly dashboards in Streamlit

Installation