Turn museum collections into interactive analytics.
Build museum-data ETL pipelines and interactive dashboards with relational storage and SQL analytics.
When to use it
Use when fetching Harvard museum data, building museum ETL pipelines, creating collection dashboards, or transforming nested API data into SQL tables.
Give it a museum-data pipeline or dashboard request; it builds an application with ETL, SQL analytics, and interactive visualizations.
The database connection, ETL pipeline, and dashboard implementations use Python.
Requires streamlit for the interactive dashboard.
This skill
MySQL
Loads and updates museum records (irreversible)
Harvard Art Museums API
Fetches museum artifacts with pagination