Resources & Events
Big data doesn't have to be slow. Now that you have identified and possibly even built functional Hadoop based big data applications that could deliver big value to your organizations, how can you easily make them work at operational speeds in production? Come listen in as Taneja Group Sr. Analyst Mike Matchett interviews Nikita Ivanov, CTO of GridGain, on why in-memory solutions for Hadoop can make all the difference for big data success. We'll explore what they do and how they work to speed up processing, how easy or hard they are to deploy and get working in the data center, and what the net impact can be. We'll also hope to talk about commercial vs. open source in the big data space, and what that means for the analytical community at large.