Comparison of the structure and value of "large data cloud picture" between China and America

Into the 2014, big data from the red media concept of speculation gradually landed into a wealth of industry. The large data service providers springing up in the Chinese market have launched a fierce competition. From "China's large data service provider comprehensive services level TOP100 list" (hereinafter referred to as the list), has been able to vaguely see the Chinese "large data cloud" embryonic.

Comparison of "Large data cloud" structure between China and America

Compared to the United States similar list, the highest ranked 10Gen only 43rd, while the Big Data stock star tableau only 45th, and Marketo simply not on the list. This makes us notice that the list of services is China, not the United States.

When I went to the United States last year to Finreb with the author of Big Data cloud, I have noticed that there are huge differences in the layout of large data industry between China and America. In a year's time, China's big data industry is changing dramatically, compared to the Big Data Cloud 2.0 (version 2013) and 3.0 (2014), the U.S. industry is also changing sharply.

The U.S. large Data Cloud 3.0 will be divided into six pieces of the industry, respectively, the data source, open source, cross-platform infrastructure/analysis, infrastructure, analysis, application. The hotspot in the field of "analysis" is data visualization and unstructured data. The focus of infrastructure "is nosql and Newsql databases;" The hot spot in the application field is advertising optimization and marketing.

Comparing the "Big Data cloud", we can see the following characteristics: First, in the "Data source" field, China and the United States have their own characteristics, the Chinese Internet Platform data source and industry data source construction has started, but local data (pragmatic data, situational data) still need to be strengthened. Second, the United States has a monopoly on "open source", "Cross-platform infrastructure/Analysis" and "infrastructure" in three areas. The top 15 in the list are U.S. manufacturers, and more than two areas of "Cross-platform infrastructure/Analytics" and "infrastructure". Some Chinese manufacturers believe that the United States related technical expertise is too strong, not conducive to universal, more inclined to fast technology applications. But some enterprises persist in these important areas of work, such as Business intelligence Software Data center construction and maintenance; third, most Chinese manufacturers focus on the field of "Application" and "analysis". The former such as advertising optimization and marketing (Alibaba, Tencent, etc.), finance, automotive, government, health, education, security and other industries, such as data processing, analysis links, integrated processing, speech recognition, frequency recognition. In the field of application, China and the United States have a high similarity of hot spots, including advertising optimization, marketing, finance, industry, government, health, education, security and so on.

If the above is the list of structural classification analysis, next to the classification of the value of the analysis.

An analysis of the value of "large data cloud" in China

The value classification of large data can be divided into three categories of "wind movement" (object value), "Streamer Movement" (main object value), "echocardiography" (main body value). This is the value classification of the six ancestral altar.

1, the big data of the wind movement class, is the big data in the eye of the engineer, see is the technology. Typical representative is 3V, 4V said. A wide range of definitions can be summed up in one word, which is "complex". Large data is inherently complex data.

From this direction, the gap between Chinese and American enterprises is big. The top 10 in the list are basically "cross-platform infrastructure/analysis" of the U.S. manufacturers. HP, which has just been included in the US "Big Data Cloud" (version 3.0), is now in 4th. And with hardware to strengthen the big data, 740 million cast Cloudera, Hadoop CDH platform accounted for half of China's Intel listed in the 2nd, but so far not in the United States list. Obviously this is the U.S. list of problems, and the Chinese list of follow-up more timely ahead.

In the future, Chinese companies need to return to Turing's original intention to find the sense of complexity data (not just as superstitious math algorithms like Google), along the "Science and Technology-humanities" two Yuan "data science" direction. Huawei and the Imperial Institute of Technology in London are building data science innovation laboratories, a positive sign.

Engineers dive into the complexity of data, just as children pounce on toys, only care about and not this fact evaluation, not care about good and bad this value evaluation. Business or government agents are concerned with the value of technology applied to people, so the object should be linked to the subject.

2, the big data of the fan movement class, is the business agent eye Big Data, sees is the tool and the ability. Represented by the definition of the United States Government. A wide range of definitions can be summed up in one word, which is "insight".

The more complex the data, the higher the cost, the slower (also known as industrial disease), the more complex the data, the lower the cost, called flexible (SMART), is good. Insight means "penetrating information mist". This is when the data into the ZB era, to avoid the information garbage landfill, but to maintain the "clear and clear true" ability.

The common feature of ICT service providers is to turn from hardware and software technology services to commercial data services. The common feature of the large data concept stock listed companies is that the solution provider is transforming from the direction of the cloud data service in the industry. For example, Neusoft is deepening cloud data services in emerging areas such as automotive electronics and medical services on the basis of traditional IT services. Delta began to do cross-industry applications, and day network to collaborate, to provide data analysis based security services; Tianji technology is transforming from a service to a traditional it architecture into a service-Internet architecture, evolving from a pure service provider into a provider of products and services. Internet enterprises, such as Baidu, Tencent, Ali and other data-owning platform-oriented enterprises, have targeted their own platform users to provide data analysis business, and to finance, environmental protection, transportation, medical and other industries data analysis and application gradually infiltration. Alibaba, for example, began to do data analysis applications in the financial industry.

Through the current list, we can see a potential trend that is not yet clear. This is the rise of the Amazon model. The importance of Amazon, I think, can not only see it ranked 7th this appearance and overlooked. In fact, Amazon's big data revenue is a lot more than the sum of all the previous vendors. According to the Synergy report, in the third quarter of 2013, Amazon gained a majority of 2.5 billion of the total revenue from the US cloud computing market, raising its revenue by 55% per cent. Synergy estimates that Amazon's cloud computing revenues will reach $700 million trillion, up 15% from Microsoft, IBM, Google and Salesforce.com. It's not accidental. Confine the discussion to space. This means that Chinese enterprises in the near Amazon model, such as Alibaba, Ufida, Neusoft, Kingdee, and so on, there is greater potential space.

Penetrate today's rankings to see tomorrow, we need to attach great importance to such a market signal: the main battlefield of large data applications may not be in the field of information technology services, as is generally thought, but may turn to business services. This is the ICT service providers, large data concept unit and Internet companies in the future of the common transformation and upgrading direction. In addition, the big data of the absolute excellence of Facebook in the United States and large data cloud is missing, but similar patterns represent the forefront of the direction.

3, the large data of echocardiography, is the client (leader and end consumer) in the eyes of large data, see is the purpose and meaning. Represented by IBM's wisdom. A wide range of definitions can be summed up in one word, meaning.

Have the ability, but not clear to solve what problems, large data is the operation of Dragon Slaughter. The result of a large data job, if it is to keep the data of the meaning, call it wisdom; The main value of large data lies in the specialization of the guarantee system of human's purpose and meaning (accurate means and purpose of calibration, to ensure that things do not forget the purpose of this matter specialization). The meaning of doing things comes from two aspects, or the boss directs the goal, or the goal itself, that is, the ultimate consumer satisfaction and dissatisfaction.

By this standard, large numbers have developed to today's levels, and few have reached their standards. Big data to really want to let the people who pay, but also need to move large data to a higher stage. The good sign is that IBM, at 1th, has identified the topic of "wisdom", at least on large data platforms. Explain that he from 100 home, the first to understand, through the wind, the fan movement, in the end to let people move, or the heart does not move.