Bicycle Rental Data Pipeline
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You work as a data engineer for a city-wide bicycle rental company. The company wants to predict future bicycle rental volumes using historical data collected from multiple sources, such as station logs, weather files, and event schedules. You are given access to raw source files that are updated daily.
How would you design an end-to-end data pipeline to prepare and serve data for downstream predictive modeling of bicycle rental demand?
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