The topic of large data, from west to east, from the IT industry to government officials, has been on fire for two years, but there is no consistent definition. At present, the industry generally agree with Gartner's description, that is, the "3V" Characteristics of the dataset, is large data. The first one is volume, great data quantity, second is produced, very complex data type and data source, its three is velocity, very high data generation, propagation, and reaction speed. In my opinion, the "data gap" in the large data age of the organization decision makers needs to have a big data war ...
"If an enterprise wants to realize service, standardization and modularization, it must have integration of data, and master data management platform is an important means of integrating data." "China Pharmaceutical Group (" Chinese Medicine Group ") Information technology Expert Group leader, Information department director Dr. Revan in an interview with reporters pointed out. Since 2005, the establishment of the group coding standard System, by 2010 began the main data platform, phase two, three project construction, the main data management platform for the old, the new, after 8 years of accumulation and optimization, three new features on July 1, 2013 success ...
"Tenkine Server channel March 19 News" March 18, the tide held a press conference in Beijing, officially launched the first domestic financial industry-oriented large data customization machine-wave of cloud financial large data machine. The product is the wave group and the domestic leading financial information solutions provider of the South-day information jointly launched for the financial industry's large data mining, analysis platform. In the past 2013, China's financial sector is perhaps the most hot talk of internet finance, internet finance is related to the application of large financial data. Tide is the leading manufacturer of large data processing platform, South Day ...
Today, IBM (NYSE:IBM) in Beijing convened the theme "Big Data crisis big integration attack" IBM ELS Big Data Strategy Media conference, elaborated Els in the big Data age new strategy, is designed to help enterprise users grasp the opportunity brought by large data, to deal with the pressure and challenge of large data to the infrastructure. Enterprise-class Linux server based on host architecture (Enterprise Linux Server), with its high performance, flexible expansion, stable operation, support for heterogeneous environment and other advantages, not only in the key business applications ...
How hot is the big data? From the Spring Festival Big Data, the Spring Festival gala Big Data to "two sessions" on the big Data national strategy heated discussion, so, big data from a technical market hot word, suddenly "like the night Breeze come, fly into ordinary people home". In the technology market, discussions about whether big data is "new bottles of old wine" or "disruptive innovation engines" never stop. In fact, when the value of information contained in the data lifecycle is fully released, no one cares whether the technology behind it is "big data" or something else. What people experience in real life is all kinds of visible or ...
Today, China's high-performance computing leaders and cloud computing leader, the pioneer of large data in the domestic industry, Shuguang Company to "platform integration, Wisdom sinks application" as the main thrust of the big data strategy turned out. As the core product of the dawning large data solution, Shuguang xdata large data integration machine tightly buckle industry application requirements, realize a single data processing system image under the shared-noting structure, and provide unified and efficient access to structured and unstructured data. and the 16PB system capacity has become the largest single set of massive storage system successfully landing in China. ...
"IT168 Information" March 12, 2013, IBM held 2013 large data press conferences in Beijing, fully demonstrating its unparalleled industry advantages in large data areas: from the industry's unique large data platform to the world's top large data analysis technology, from large data strategies to large data landing solutions, From a large data strategy for the enterprise consulting to IBM in the global and Chinese markets in different industries, large data practices, ...
Intermediary transaction SEO diagnosis Taobao guest Cloud host technology Hall with the rapid development of Chinese netizens, China's network cake is growing, the world's giants, the eldest, big, frequent, search Google and Baidu Dou not also Lok, Yahoo and other search engine crouched, Consumer-to-consumer domain ebay and Taobao protracted war, Tencent's racket joined the battlefield. Aside from the enterprise giants do not say, the number of Chinese personal webmaster is also rapidly expanding, the number of personal sites increased rapidly, a time of Chinese internet Shiji, war ...
Today, the tide held a press conference in Beijing, officially launched the first domestic financial industry-oriented large data customization machine-wave of clouds of large financial data machine. The product is the wave group and the domestic leading financial information solutions provider of the South-day information jointly launched for the financial industry's large data mining, analysis platform, this will be the tide Big data strategic layout industry market beginning, is the Internet financial background, financial institutions to achieve business transformation and innovation of the technical driving force. Wave conference scene at present, the Internet financial model is profoundly affecting the future development of China's traditional financial institutions ...
The most high-profile topic at the moment is cloud computing, a few days ago, with its own insights into the integration challenges of cloud computing and virtualization, Loraine Lawson, a prominent journalist at the IT Business Edge, said in its own report, "an evolution of the Internet 's column makes an in-depth discussion of the cluster problem, and the final conclusion is that inadequate integration will hinder the development of cloud computing and virtualization. In fact, as far as I'm concerned, the fundamental reason that cloud deployments are now limited is: in the cloud ...
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