With a hybrid approach to big data storage, companies can combine the high performance and speed capabilities of in-memory while solving the storage issues by putting the vast historical data sets on disk. By bridging available technologies, companies can deliver on all counts – including cost.
Making its biggest announcement in a decade as leader in analytics, IBM (NYSE: IBM) today announced Watson Analytics, a breakthrough natural language-based cognitive service that can provide instant access to powerful predictive and visual analytic tools for businesses.
“Fortissimo Foundation is a clustered, pervasive, global direct-remote I/O access system that linearly scales I/O bandwidth, memory, Flash and hard disk storage capacity and server performance to provide an “in-memory” scale-out solution that intelligently aggregates all resources of a data center cluster into a massive global name space, bridging all remote compute and storage resources to look and act as if they were local.”
Last evening I had the pleasure of attending the latest installment of our local Los Angeles Big Data User Group where I am co-organizer. The featured speaker was Dr. William Bain, Founder & CEO of ScaleOut Software, a company providing distributed data grids for the enterprise. Bill’s talk was “Making Hadoop Realtime” where he discussed how in-memory data grids bring tremendous value to the Hadoop software stack. [Read More...]
For an illuminating look at the history and future of predictive analytics and big data, here is The Analytics Big Bang – predictive analytics reaches critical mass as big data and new technologies collide. [Read More...]
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