Big data is actually on the way.

Have seen the friends of the Kingdoms must know the "grass boat Borrow arrows" this allusion, is that Zhuge Liang can predict in advance to three days after the night, fog lock the Yangtze River, so he and Zhou Yu Junlingzhuang, in the last night, and Su in the Yangtze River on the grass boat borrow arrows, completed the Zhou Yu issued almost is not complete task.
Now, this may be a code example for large data applications. If a person is familiar with 5,000 years of knowledge, in fact, his brain is the equivalent of a large database, the knowledge of this library to digest, can be applied to various industries. Zhuge Liang can come up with a wonderful plan such as a grass ship to borrow arrows, which is used in military affairs, he has mastered the weather situation in this section of the Yangtze River over the years, night view, perhaps this is a prediction model based on large data analysis.
All previous industrial revolutions, China are learners and imitators, entered a large data era, China almost and the developed countries in Europe and the United States in the same starting line, some media pointed out that China's population ranked first in the world, will become the largest number of data-producing countries, with the continuous development of China's economy, The commercial value contained in its massive data is immeasurable. China is likely to be a pioneer in the field of big data, and a huge pluralistic society has created a lot of opportunities to create large data resources and build large data applications.

What does it mean to cross-border fusion? The Chief technical officer of the soft Drive group said in an interview: "The current mainstream smart technology, namely social media, mobile Internet, large data analysis, cloud computing, Internet of things, is not isolated, but a combination of application and development. With the rapid rise of digital economy, this kind of innovation integration makes today's IT industry no longer just provide simple service, but through the continuous development and innovation of technology, as well as the continuous infiltration in the industry, to create more value for customers. "
Of course, big data is not just the IT industry, and many industry leaders are aware of the huge impact of big data new thinking, not the big data itself, but the incredible cross-border capabilities of some start-ups. The boundaries between the industry become increasingly blurred, many people adopt new technologies, new models, large-scale data , rapid formation of the pre-contract, expansion to the enterprise industry. For example, music video network, sales of television, film, Millet to do mobile phones, television sales, Baidu, 360 and so began to do a variety of hardware ...
Imagining and believes that new technologies are both challenges and opportunities. Smart technology development and integration, in the emergence of a number of new industries and fields, but also to more traditional industries to bring new life. The application of various industries cloud landing as well as intelligent city, wisdom and finance, intelligent medicine, intelligent business, intelligent tourism, intelligent agriculture, such as the rapid rise of a series of intelligent industries, but also for more technical enterprises to bring new opportunities for development. In the future, large data genes will be more integrated into all walks of life.
Openness and privacy how to live in harmony
throughout the domestic large data market, still in the concept of more than the application stage, most enterprises have not yet straightened out the linear, closed system data relations, but also can not convert large data into commercial value.
As we all know, a rich data source is a prerequisite for large data, but most enterprises are faced with an island crisis, can only obtain the company's own data and can not obtain external data, even within the enterprise, the IT team's data access rights can not be fully liberalized. It takes a long way to really be open to big data.
However, the balance between openness and privacy is also a major problem. Any technology is a double-edged sword, large data is no exception. How to promote the full openness, application and sharing of data while effectively protecting citizens, corporate privacy, and gradually strengthening privacy legislation will be a major challenge in the big data age.
Large data platform in the provision of services, but also at all times to collect the user's various consumption habits, browsing habits and even life habits. How to protect user's privacy has become an unavoidable problem in the development of large data age. Therefore, the application value of large data is the balance between personal privacy protection and data precision.
Imagining and representations: the openness of public data resources requires certain standards and norms to constrain, and which public data resources can be opened? How to open? Thisis a good question to consider. Of these, it is important to protect data that is relevant to information security, to the extent possible, and to deal with data that may involve personal privacy, such as encapsulation, to be open. In the premise of security, the realization of data sharing, the real creation of data value, this is the real purpose of large data.
Large data will become the Internet after the human another technology utopia. The start of large data with the Internet has the same logic, the initial discussion does not know how to start, there will be a round or even a few rounds of more obvious industrial bubbles, but with those seemingly utopian vision, a technology, an attempt to enter the start-up companies, will step by step into reality.

Drink only flowing to
as the front-runner for big data, the United States already has three of the most successful big data companies-Google, Amazon and Facebook. What does big data bring to these three companies? In David Finreb's words, "Google knows what you want to search for, Amazon knows what you want to buy, and Facebook knows what you like."
Large Data analysis is no exception and requires a truly reliable source of data. With mobile internet, social networking, e-commerce, the rapid development of Internet of things, data from a variety of sources, in addition to our online use of the browser intentionally or unintentionally record the personal information data, mobile phones, smart watches, smart bracelet and other wearable devices are also at all times the production of data; living in the home of the router, TV, air-conditioning, water dispenser, purifier, etc. is also gradually intelligent and has a networking function, home appliances in the service of us, but also in the production of a large number of data; even we go shopping, merchants ' WiFi, operator's 3G network, ubiquitous cameras, electronic eyes, the self-service screen of the department store, bank ATM, Gas stations and credit card machines, all over the convenience stores, are also generating data. Imagining and think that, with big data, businesses will eventually have to learn real information from these data. To make data truly valuable in management, decision-making, monitoring, evaluation, and people's lives. Among them, the soft power based on the user's various behavioral analysis combined with the user's online browsing behavior trajectory, in many industries has successfully promoted large data user portrait program.
At present, large data sweeping the world, the society needs large data thinking talents, not only have database and software, such as computer professional background, but also the mathematics and statistics related subject knowledge reserves, exactly, that belongs to multi-disciplinary cross-type talents. Imagining and points out that the demand for new talents also puts forward new requirements for the training of talents in colleges and universities, however, the combination of college and Enterprise has become an effective trend and approach. Soft power in recent years with a number of schools to work together to cultivate large data new talent.
Smart city has been on the road
under the tide of intelligent city construction, soft and dynamic is a new service provider, in the area of intelligent city construction is also constantly breaking through, to realize the city's fresh pattern. The company utilizes the rich industry experience and the innovation ability, has accumulated the deep practical experience in the Intelligent City Consultation plan, the construction service, the solution development and so on domain. Since 2012, the soft power to join the Department of Housing and Construction Ministry of the Digital City Engineering Center launched the National Intelligent City Industrial Technology Innovation Strategic Alliance, soft power has been with the domestic cities and regions signed a smart city cooperation agreement. With its own strength and advantages, in the cloud computing, intelligent City Public information platform, Intelligent City Integrated Operation Center and other industries in the field of application, and continue to promote the construction of intelligent city.
Summary
The tide of the great data age has come, and it is for each one of us a big dataCreator, because our cognitive and behavioral patterns are constantly producing all kinds of data; it is also a user of large data, because the human brain is almost always analyzing all the data observed and collected, with a view to drawing conclusions; it is the direct beneficiary of large data, because through the analysis and excavation of data , the great value of large data is ultimately embodied in the action of the Guiding people and thus promote the continuous progress of society.
But we have to admit that there are three big mountains in front of the big data that block our way, we must come up with the courage of the old days, the first is the source of data to be true and reliable, raw material quality, polished products can be tall; the second is to weigh good open and security issues, openness is the hard truth, But the most difficult problem is data security, the third is to implement the data operation, only when a large number of employees understand the data, using data to decide the business, can explain the company began to start data operation.
We believe that big data is a spark, after the removal of the three mountains will be a rapid prairie fire: must be able to break through the city's congestion barriers, so that residents travel unimpeded; for the Environmental protection Department to provide better atmosphere, water and other sources of pollution analysis and treatment framework, to dispel the haze, lingering in the blue sky clouds, green mountains and waters To provide hospitals with more information on diseases and health care, to escort people's health, and to bring quality education resources to teachers and students in poor areas ...