By Vivek Kale
This publication unravels the secret of massive info computing and its energy to rework enterprise operations. The technique it makes use of might be worthwhile to any expert who needs to current a case for understanding titanic info computing strategies or to those that should be all for a tremendous information computing venture. It presents a framework that permits enterprise and technical managers to make optimum judgements useful for the profitable migration to important information computing environments and functions inside their organizations.
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Whereas normal structures learn has had a substantial effect on study within the social sciences, this impression has been normally conceptual and has now not served to supply the operational and methodological aids for study that are attainable. moreover, a lot of these systems-oriented instructions and effects which do effect social technological know-how examine have constructed inde pendently and in piecemeal model in contemporary a long time.
This booklet constitutes the refereed convention lawsuits of the thirteenth overseas convention on clever facts research, which was once held in October/November 2014 in Leuven, Belgium. The 33 revised complete papers including three invited papers have been rigorously reviewed and chosen from 70 submissions dealing with all types of modeling and research tools, without reference to self-discipline.
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Extra info for Big Data Computing: A Guide for Business and Technology Managers (Chapman & Hall/CRC Big Data Series)
Today companies such as Amazon, eBay, and Facebook use commercial supercomputing to solve their Internet-scale business problems. Big data is a type of supercomputing for commercial enterprises and governments that will make it possible to monitor a pandemic as it happens, anticipate where the next bank robbery will occur, optimize fast-food supply chains, predict voter behavior on election day, and forecast the volatility of political uprisings while they are happening. Big data can be defined as data sets whose size is beyond the ability of typical database software tools to capture, store, manage, and analyze.
The usable limit for semiconductor process technology will be reached when chip process geometries shrink to be smaller than 20 nanometers (nm) to 18 nm nodes. At those scales, the industry will start getting to the point where semiconductor manufacturing tools would be too expensive to depreciate with volume production; that is, their costs will be so high that the value of their lifetime productivity can never justify it. 4 Big Data Computing Lastly, the power requirements of chips are also increasing.
The market for supercomputers includes government research agencies, large universities, and major corporations. They use supercomputers for applications such as global weather forecasting, military defence systems, computational cosmology and astronomy, microprocessor research and design, and large-scale data mining. 6 Big Data Computing Interconnecting microprocessors to create minisupercomputers is a reality. The next wave was looking at harnessing the virtually infinite amount of unused computing power that exists in the myriad of desktops and laptops within the boundaries or outside of a modern organization.
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