HP in data center hardware infrastructure for large data has made adequate preparation, data from the server to the large lateral spreading system, from fusion infrastructure to complete the VirtualSystem, CloudSystem and AppSystem, as "a sticking to its excellent hardware traditional" IT providers, HP in the big data hardware infrastructure to form the competitive enough.
Whitman thought to the core of the "new HP" strategy does not mean that HP in software above can candidly admit defeat, in the HP Pavilion dv6-1010tx Hinges, computation, storage and network is the basis of the large data, or the only enterprise large data strategy need to consider the first layer, whether to have better software, means of data whether can better management, and then realize the large data analysis, really get its value. Can't get through the analysis and the value of the large data - apart from the necessity of regulatory compliance outside - there is no any enterprise cost huge storage, handling and management of the meaning of the.
But even specialization and believe that big data value of the enterprise, also does not mean that cost - ROI or other evaluation indicators, can not restricted, the rise of the enterprise processing large data ultimate goal is to gain value, and even profit. Therefore, in the management, processing and use of these large data information, enterprise will pay more attention to their capital in it spending and efficiently, nature is "lower the better", but it is common sense or now phenomenon disobeys: data types are becoming more and more, the data is also becoming more and more big, information, even in the twinkling of an eye will have a significant change, and the depth of the analysis, to which a layer of? - problem also cannot ignore.
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