harvard-art-museums-data-engineering
OfficialBuild end-to-end pipelines with Harvard Art Museums data
Software Engineering#data engineering#SQL analytics#ETL pipeline#Streamlit dashboard#Harvard Art Museums
AuthorAradotso
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill automates the end-to-end process of working with Harvard Art Museums data, providing an efficient way to create pipelines, conduct SQL analytics, and visualize collections with Streamlit dashboards.
Core Features & Use Cases
- API Integration: Connects to the Harvard Art Museums API for fetching artifact data.
- ETL Pipeline: Automates the process of Extracting, Transforming, and Loading (ETL) data into relational databases.
- Database Design: Constructs structured MySQL/TiDB tables with proper schema.
- SQL Analytics: Executes analytical queries for deep insights.
- Visualization: Creates interactive dashboards using Streamlit and Plotly charts.
- Use Case: Build a robust data engineering pipeline to process cultural heritage data from the Harvard Art Museums.
Quick Start
Run the 'app.py' script to launch the Streamlit dashboard.
Dependency Matrix
Required Modules
streamlitpandasrequestsmysql-connector-pythonplotlypython-dotenv
Components
scriptsreferencesassets
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: harvard-art-museums-data-engineering Download link: https://github.com/Aradotso/data-skills/archive/main.zip#harvard-art-museums-data-engineering Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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