Solving Madrid's parking problem with Airflow and Streamlit
summary
Demonstrates building an automated data pipeline that reads Madrid City Council’s Open Data parking API, processes the feed with Apache Airflow, and presents real-time availability using Streamlit. The pipeline includes data extraction, transformation, visualization, and uses user geolocation to recommend the nearest free parking spot.
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chapters (9)
- 0:00Introduction
- 3:34Project tools
- 6:24Streamlit app overview
- 8:45Airflow DAG implementation
- 13:46Geospatial data challenges
- 17:39Streamlit map integration
- 20:04User location deployment
- 22:12Challenges and solutions
- 26:11Demo and closing
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