harvard-artifacts-data-engineering-pipeline
OfficialBuild ETL pipelines and analytics dashboards with Harvard Art Museums API data
AuthorAradotso
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides a comprehensive end-to-end solution for building ETL pipelines and analytics dashboards using the Harvard Art Museums API, empowering users to collect, transform, store, and analyze artifact data efficiently.
Core Features & Use Cases
- ETL Pipeline: Automates data extraction, transformation, and loading from the Harvard Art Museums API.
- Database Design: Implements normalized tables for structured data storage.
- SQL Analytics: Executes predefined analytical queries for in-depth data analysis.
- Visualization: Generates interactive dashboards with Streamlit and Plotly.
- Use Case: Ideal for data engineers and analysts looking to create detailed analytics of museum collections and artifacts.
Quick Start
Run the ETL pipeline with the provided script to fetch, transform, and load data from the Harvard Art Museums API into a SQL database.
Dependency Matrix
Required Modules
streamlitpandasrequestsmysql-connector-pythonplotlypython-dotenv
Components
scriptsreferencesassets
💻 Claude Code Installation
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Please help me install this Skill: Name: harvard-artifacts-data-engineering-pipeline Download link: https://github.com/Aradotso/data-skills/archive/main.zip#harvard-artifacts-data-engineering-pipeline Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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