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Top 4 Considerations When Evaluating a Data Analytics Platform

HP vertica.jpgFrom fraud detection to clickstream analytics to simply building better products or delivering a more optimal customer experience, Big Data use cases are abounding with analytics at the core.
 
By Jeff Healey, Director of Product Marketing at Vertica Systems

A Deeper Dive on Vertica & R

 

The R programming language is quickly gaining popularity among data scientists to perform statistical analyses. It is extensible and has a large community of users, many of whom contribute packages to extend its capabilities. However, it is single-threaded and limited by the amount of RAM on the machine it is running on, which makes it challenging to run R programs on big data. Continue reading to find out more about the impacts of the R programming language.

 

by Lakshmikant Shrinivas, Pratibha Rana, and Mark Warner

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About the Author(s)
  • This account is for guest bloggers. The blog post will identify the blogger.
  • For years I've been doing video and music production back and forth between Boston MA and New Orleans LA. Starting in 2010, I've began working with Vertica (now HP Vertica) in the marketing team, doing customer testimonials, product release videos, and website management. I'm fascinated by Big Data and the amazing things my badass team at HP Vertica has done and continues to do in the industry every day.
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