Can in-memory computing handle big data demands?

Michael Tidmarsh Profile: Michael Tidmarsh
Big Data
In-Memory Database
Big data may have met its match as in-memory computing has become one of the top 10 strategic technology trends of 2013, according to Gartner. Used by Google and Twitter, this approach allows easier access to data and provides better analysis. Do you think in-memory computing can handle big data demands?

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How do you see the future panning out for the SAP HANA platform?

In reviewing the SAP HANA in-memory platform, analyst Joshua Greenbaum concluded: "More importantly ... for customers and SAP, [is} using that HANA instance as a baseline of innovation on which you start building net-new innovation. Someone described it today as 'the innovation we haven't imagined yet." Would you agree with his analysis? If not, how do you see the future panning out for the SAP HANA platform? Michael Tidmarsh Profile: Michael Tidmarsh

Based on the three startup ideas presented here, which company would you have voted for?

One of the highlights of the MIT VC Conference every year is the Startup Showdown. Here are three of this year's competitors that might be of interest to CIOs:
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Nicole Laskowski Nicole Laskowski, Senior News Writer Profile: Nicole Laskowski
  • dooordarshan
    Concept has been around from Seti days. This would be next evolution.
    10 pointsBadges:
    They quality services are above standard level.
    10 pointsBadges:

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Tata Consultancy Services (TCS) Ltd., surveyed 1,217 big data and analytics, IT management, and sales and marketing professionals last year. Among their interesting finds were that of the companies that undertook big data in 2012, just over 40% predict seeing a return on investment (ROI) of more than 25%. Is such a prediction good for big data’s future in that companies are willing to invest in it without expecting a large return; or is it bad news in that companies may move away from deployment as the expected returns are low? Michael Tidmarsh Profile: Michael Tidmarsh

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