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BKK, Budapest's unified transport authority, transformed its data infrastructure by migrating from legacy on-premises systems to Azure Databricks to handle growing datasets from 2,000+ buses, metros, and shared mobility vehicles.
•Migrated from fragmented SQL servers and Excel-based reporting to a centralized Databricks Lakehouse platform for efficient data processing
•Analysts now work seamlessly in SQL, Python, or R within collaborative notebooks, enabling faster insights and cross-team data sharing
•Real-time use cases include minute-level tracking of 900+ scooters/bikes, GPS-based route optimization for buses and trams, and predictive scheduling using airport API data
•Platform supports dynamic scheduling based on ridership patterns and seasonal trends to optimize transit capacity
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Enables data democratization with governed access for internal teams and creates foundation for future external partnerships across European cities
This summary was automatically generated by AI based on the original article and may not be fully accurate.
Databricks
Airbnb
Google Cloud