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Keeping up with Big Data: An IT Tale of Two Architectures

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If there is one topic in computing, networking and storage that is commanding attention these days, it’s Big Data.  We read about it in the media, we hear about it at conferences and seminars, we learn about it in podcasts and webinars.  In fact, we can now even enroll in courses of study on it. Today the technology community is working closely with academia to create new programs leading to a major in data science.

But for an IT organization, big challenges remain around Big Data and specifically, the analysis thereof. These departments face the daunting tasks of implementing the necessary infrastructure to harness the information. Specific computing, Networking and Storage architecture is needed to enable companies to benefit.    How does one, for example, ingest (say) a staggering 30 TB of new data per day (equivalent to 1,740 HD-quality movies, analyze it, store it for possible re-analysis, and archive it?   If you’re counting, that is roughly 10 PB annually. That figure is expected to rapidly become trivial as we will soon enter into the Exabyte era – 1,000 PB or more annually.

As fast as the technology has developed, there remain questions around how businesses can measurably benefit from Big Data and the tremendous insights within the data. 

To learn more and to read the entire article at its source, please refer to the following page, Keeping up with Big Data: An IT Tale of Two Architectures- SiliconANGLE.com

       

 

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