harvard-artifacts-etl-pipeline
OfficialBuild ETL pipelines and analytics dashboards for Harvard Art Museums data
AuthorAradotso
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the challenge of building comprehensive ETL pipelines and analytics dashboards for the Harvard Art Museums API data, enabling efficient data processing and visualization.
Core Features & Use Cases
- ETL Pipeline Creation: Automate the Extract, Transform, and Load process for Harvard Art Museums data.
- Data Visualization: Generate interactive dashboards using Streamlit and Plotly.
- SQL Database Interaction: Execute SQL queries on the Harvard Art Museums data stored in MySQL/TiDB Cloud databases.
- Use Case: Develop a complete data engineering workflow to fetch, transform, and visualize museum artifact data.
Quick Start
Run the ETL pipeline using the command: python run_etl_pipeline.py
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-artifacts-etl-pipeline Download link: https://github.com/Aradotso/data-skills/archive/main.zip#harvard-artifacts-etl-pipeline Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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