In data science, as in everyday life, sometimes you have to revisit your parameters!
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Industry Perspectives
Five Reasons Why Your Data Science Project Could Fail - And What You Can Do to Avoid It
In this special guest feature, Afrozy Ara, Head of Data Science practice at Incedo, suggests that given the difficulty in running a successful data science project, there are some specific reasons why these kinds of projects fail. [Read More...]
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Cask Hydrator: Self Service Data Lakes on Hadoop
The Cask Hydrator empowers organizations to blend, transform, and analyze data across multiple sources to create an on-demand analytical view across key customer interactions. This provides powerful insights into buyers, brand performance, products, and services.
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