ShopRunner Processes 1TB of Data a Day to Recommend the Right Products

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Опубликовано 10 июля 2019, 19:39
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ShopRunner ingests product, logistic, and behavioral data from more than 100 retailers to provide highly personalized and customized experiences for its shoppers. It needs high-quality, fast, and efficient data management.

To automate its data pipelines, ShopRunner uses Databricks Unified Analytics Platform on Amazon Web Services (AWS). Now ShopRunner can improve its product recommendations with better machine learning results.
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