Commoditization of the Big Data Technology Space
What significant changes did Big Data segment witness in 2013? What did these changes mean to vendors and customers?
We saw further commoditization of the big data technology space, making it much easier for customers to setup and deploy big data platforms.
What are some of the changes you had anticipated would happen in 2013 but did not happen?
But what we did not see were major advances in tools that helped customers leverage the big data in more advanced ways such as predictive analytics. We think this is becoming more of a gap in generating analytic insights from big data. See below for a continuation of that thought for 2014.
Can you paint us the picture of how the landscape for this industry segment will change in 2014? What are some of the broader trends you are closely watching?
We’re closely watching the capabilities that can apply predictive analytic techniques to big data. The advances have been slow, but we do think 2014 will bring new techniques to market that leverage big data in the environment where it is stored.
How would customer spend change in 2014 for Big Data segment? What makes you think customers will be buying more/ less?
Customer spend will begin to move more toward tools that develop insights or predictive analytics from big data, versus the supporting HPC stack and Hadoop clusters.
What's in store for your company in 2014?
Lityx will be releasing version 3.0 of LityxIQ which will bring big data modeling, analytics, and deployment to the enterprise business user with no requirement for programming. It will be released in 2014 Q1.
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