Concept Of Data

Starting last year, the word "big data" began to appear frequently, whether in the Internet or in other industries. The "concept" nature of things in China's internet circle can always be spread quickly, there are many reasons, there is a whole atmosphere: most Internet entrepreneurs are hoping to change the world through forward-looking innovation, by the pursuit of capital, and finally the cash. In this process, the concept of rapid dissemination, packaging, become a variety of tagged products. 　　But the pragmatist only passively accepts, lacks the correct cognition profound exploration. As can be seen from the following figure, 2008 ...

October 24 News, Today, "China TMT International Chamber of Commerce monthly Hero Meeting" held in Beijing. Xie, a well-known it commentator and former Yahoo China general manager, said at the meeting that there are many misconceptions about the big data, and that this year even the next two or three years, big data will be embroiled in a melee. Xie that now the industry's concept of big data has three main views: one thinks that large data is the past, because large data has been in the fields of physics, biology, medicine and so on for decades; the second is done, because some companies have claimed to be able to provide ...

The big data from the Silicon Valley goes from "concept" to "value", based on large data recommendations and forecasts gradually popular, data science will rise, security and privacy become an important issue, the large data industry into a strategic industry-this is the Chinese Computer Society large Data Expert committee on the "Big Data" 2014 Ten trends in the prediction of the content. In this forecast, it also includes data commercialization and data sharing alliance, large data ecological environment development and so on. At the same time, the large data experts committee predicts that 2014, the Internet and E-commerce, Finance (stock market forecasts, financial Analysis), health care (epidemic ...).

Many of the executives I talk to in the big data strategy have not yet implanted many ideas into the implementation of the strategy because they are waiting for it to complete their exploration. In fact, based on direct experience and trusted colleagues, I know that most companies develop large data proof-of-concept before they risk trying out the whole strategy. This approach sounds reasonable, and the study of leadership change will propose a different approach. Although proof-of-concept seems logical, value validation is more pragmatic. In my browsing from legendary writers Kurt Lewin and John P ...

Many of the executives I talk to in the big data strategy have not yet implanted many ideas into the implementation of the strategy because they are waiting for it to complete their exploration. In fact, based on direct experience and trusted colleagues, I know that most companies develop large data proof-of-concept before they risk trying out the whole strategy. This approach sounds reasonable, and the study of leadership change will propose a different approach. Although proof-of-concept seems logical, value validation is more pragmatic. In my browsing from legendary writers Kurt Lewin and John P ...

The popular taste of cultural products has always been elusive, but will scientific data be more reliable than producers ' intuition in the big data age? It is understood that the second quarter of "card House" in February this year, the number of Netflix users increased by 10%, after the domestic online, the total flow is 9 million. After two seasons, Netflix's share price rose from more than $90 trillion in the early January to more than $430 today. It's not just the drama itself, but more people are starting to pay attention to the birth process of the "God Play" ——— producer Netflix analyzes more than 30 million users ...

The popular taste of cultural products has always been elusive, but will scientific data be more reliable than producers ' intuition in the big data age? It is understood that the second quarter of "card House" in February this year, the number of Netflix users increased by 10%, after the domestic online, the total flow is 9 million. After two seasons, Netflix's share price rose from more than $90 trillion in the early January to more than $430 today. It's not just the drama itself, but more people are starting to pay attention to the birth process of the "God Play" ——— producer Netflix analyzes more than 30 million users ...

"Big Data" is not really a new concept or phenomenon. As early as the 1980, the United States has put forward the concept of "big data". In the past more than 30 years, due to the progress of information technology, the data volume in various fields has been increasing rapidly, and the corporate and academic circles in the United States are constantly discussing this phenomenon and its significance. In the last two years, the concept of "big data" has become increasingly popular and important in the United States. In March 2012, the federal government announced that it was spending more than $200 million to start research and development on large data, and to define large data as being as important as the Internet and supercomputing in history ...

&http://www.aliyun.com/zixun/aggregation/37954.html ">nbsp; So far, investments in large data areas have become hotter and more companies are being made. How many companies really use big data?     I believe there is hardly much. The most direct scenario for big data in American finance is the so-called credit rating system. American Credit System assessment is simple, ...

After networking, cloud computing, mobile Internet, technology stocks in the "Big Data concept" turned out, day-tech, Silver letter technology, extension of the 3-unit volume breakthrough, wave information, with technology, the United States and Asia Cupressaceae, Ufida, such as also good performance. In the Twelve-Five planning of the Internet of things, the information processing technology is proposed as one of the 4 key technological innovation projects, including mass data storage, data mining, image and video intelligent analysis, which are important components of large data. Shareholder Shian: "We haven't figured out when the PC era, mobile internet came;