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City-Wide Bicycle Demand Forecasting Pipeline

A hard Pipeline Design interview practice problem on DataDriven. Write and execute real pipeline design code with instant grading.

Domain
Pipeline Design
Difficulty
hard
Seniority
senior

Problem

We run a bike-share network across dozens of cities and need to predict hourly bike demand at each station so we can pre-position bikes before rush hour. The raw data comes from multiple city operators and external sources in different schemas and formats. Design the end-to-end pipeline from raw ingestion through to model-ready features.

Practice This Problem

Solve this Pipeline Design problem with real code execution. DataDriven runs your solution and grades it instantly.