Kyvos serves up Hadoop on cubes
What good is big data if you don’t have the proper tools to make sense of it? A startup, Kyvos Insights, can transform terabytes of information stored on Hadoop clusters into easy-to-parse data cubes, the format business analysts prefer.
“We focus on making big data interactive and usable to the business user,” said Ajay Anand, Kyvos’s vice president of products. “We can do online analytical processing [OLAP] at massive scale.”
The Kyvos software can work with any major Hadoop distribution, including those from Cloudera, Hortonworks and MapR, and the stock distribution from Apache Software. Users can parse the results using Kyvos’s own software or third-party programs such as Microsoft Excel or Tableau’s data visualization software.
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