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19 09 2017 from determining the most convenient rider pickup points to predicting the fastest routes uber aims to use data driven analytics to create seamless trip experiences within engineering analytics inform decision making processes across the board one of the distinct challenges for uber is analyzing geospatial big data.

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uber uses big data in the following ways business strategy improve user from computer s bit 2015 at dedan kimathi university of technology.

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22 06 2018 1 lu niu zhenxiao luo software engineer uber geospatial big data analytics uber 2 mission uber business highlights analytics infrastructure uber presto interactive sql engine for big data geospatial analytics geospatial optimizations for presto ongoing work agenda 3.
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star 43 code issues pull requests a predictive model to help uber drivers make more money schedule optimization geographic data optimization algorithms mip taxi taxi data uber data uber drivers mixed integer programming updated on jul 11 2017.

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