harvard-artifacts-collection-data-engineering

Harvard Artifacts Collection Data Engineering

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

What This Project Does

• API Integration: Fetches artifact data from Harvard Art Museums API with pagination and rate limiting
• ETL Pipeline: Extracts, transforms, and loads nested JSON into relational database tables
• SQL Database: Stores structured data across artifactmetadata, artifactmedia, and artifactcolors tables
• Analytics: Executes 20+ predefined SQL queries for insights
• Visualization: Interactive dashboards using Plotly and Streamlit

Installation

Harvard Artifacts Collection Data Engineering

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

What This Project Does

• API Integration: Fetches artifact data from Harvard Art Museums API with pagination and rate limiting
• ETL Pipeline: Extracts, transforms, and loads nested JSON into relational database tables
• SQL Database: Stores structured data across artifactmetadata, artifactmedia, and artifactcolors tables
• Analytics: Executes 20+ predefined SQL queries for insights
• Visualization: Interactive dashboards using Plotly and Streamlit

Installation