Olympic Games Analytics using Notebook and Streamlit
Matteo Consoli
Overview
This solution architecture shows how to use The Olympic Games Data Hub to explore, analyze and visualize Olympic games data.
- Ingest data from GitHub into Snowflake tables.
- Perform statistical analysis on the Olympic games dataset
- Streamlit app for exploring and visualizing the Olympic Games data from 1896 to 2022.
Solution Architecture: Olympic Games Analytics
The Olympic Games Data Hub consists of the following components:
- setup.sql: Script to set up the database, schema, warehouse, and external access integration.
- olympic_games_ingest_explore.ipynb: Notebook to fetch data from GitHub and push it into Snowflake tables.
- olympics_games_data_hub.py: Streamlit app for exploring and visualizing the Olympic Games data.
- dataset: folder containing csv dataset that will be uploaded in your Snowflake account.
Get Started
Updated 2026-04-29
This content is provided as is, and is not maintained on an ongoing basis. It may be out of date with current Snowflake instances
