From cloud computing to big data

Starting at the end of 2011, Big Data has become a fashionable term in the industry. So what is big data?

The world's data are made up of two categories: The transaction type data, is linear, in the Newtonian mechanics domain, produces and carries on the logical operation by the rational thought right brain; the large data is discrete, belongs to the category of quantum mechanics, and the emotion class information is generated by the left brain of the perceptual thinking.

Typical traditional data is a lot of financial transactions from banks, operators billing information, and other public service companies a large number of user information. But today, in addition to linear transactional data, user-generated information from Yahoo, Google, Facebook, web portals, search sites, and social networking sites generates random, Divergent, resilient, explosive data. Compared with traditional data, large data can reflect the reality of the world, for example, people will upload and publish a large number of pictures to record the personal life and social changes. Today, the number of photos uploaded in one day is equivalent to the sum of the images taken by Kodak after the invention of the film. In the past, computers used to solve large business-type data did not record this information, and only after the cloud computing industry had been scaled up for 3 years did distributed structural computing provide a record carrier for large data. It can be said that cloud computing makes big data possible, for example, cloud computing acts as the engine of the industrial revolution, while the big data is electricity.

In short, cloud computing has brought the conditions for hardware storage--cheaper distributed computing storage--and today's internet age calls for data applications and services. The dual push for technology and demand will enable more and more government agencies, companies and individuals to realize that data is a huge economic asset, like money or gold, that will lead to new entrepreneurial directions, business models and investment opportunities.

0 distance between Silicon Valley and Beijing

Large data technology companies in Silicon Valley have been grouped into the following three categories today, according to the concept of big data from the US Nature magazine, to the IBM-defined large data 4V theory (scale volume, diversity produced, speed velocity and authenticity veracity).

First, companies such as Amazon, Google and Facebook have a lot of user information to solve their company's precision marketing and personalized advertising promotion through large data analysis of user information.

Second, companies such as IBM and Hewlett-Packard are integrated solutions that provide hardware + software + data to other companies by consolidating information and applications for large data.

Finally, emerging start-ups provide a single solution more targeted by selling data and services. These companies are closer to the model of commercializing and commercializing large data.

The first type of company will change the foundation of marketing, precision marketing and personalized marketing will be targeted to find users, multiple channels of marketing will gradually disappear. The second type of company will change the company's management philosophy and strategy formulation, no data analysis to support the decision will become increasingly unreliable. A third group of companies will commercialize large data, which will lead to a new wave of entrepreneurship and industrial Revolution following portals, search engines and social media. At the same time, the third type of large data companies targeted advisory services will have a strong impact on traditional consulting companies. Even the second category of technology companies that provide integrated services will be challenged by a third category of open source data because of the monopoly of their systems and software.

These three types of companies will not be much different in China. In the era of the advent of the Internet, it was often said that China's technology companies had a 20-year gap with Silicon Valley, and that the age of social media was shortened to 5 years, but in a wave of big data, Silicon Valley was 0 miles away from Beijing. Many of the big data companies investing in China's broadband industry fund are also major engineers on the Yahoo Hadoop platform, and joint investment partners are also from Silicon Valley, and we are working closely with Hortonworks and Cloudera. In this wave of technology, Chinese companies are faster than any other reaction.

I think there will be a new business model, just as the internet creates a series of business models of search, E-commerce and bidding, and big data breeds more new types of companies, which is why big data has the most investment potential. "Data Mine" is there, the analysis platform has matured, at this stage is to use the perspective of problem solving, looking for data analysts and understand the business operation of talent, the data analysis of the product.

The challenge of Big data

The challenge of large data is cross-industry and cross-cutting.

Within the company, from the company's management to the board, should be aware of the big data is about to bring about the transition. The incorporation of data outside the company and industry into analysis and as a basis for decision-making is what the company's board of directors and executives have to rethink.

When the mobile internet age penetrates into your customers, your team of employees, the company's decisions and management cannot be compromised. For example, Zhang Xin, the chief executive of Soho China, has seen that traditional marketing channels have been unable to pinpoint targeted clients, and the power of micro-marketing and micro-communication is enormous. Many companies are also using apps such as Facebook or Evernote to share information, and traditional enterprise resource planning (ERP) has been quietly exiting.

At the same time, the biggest obstacle to large data development is the "liquidity" and "availability" of data. In 2009, the U.S. government created the Data.gov Web site, opening the door to big data that the public could access through the site. Now there is also a "data Disclosure" campaign in India. China has to catch up with such a change in data, starting with the government's disclosure of data, followed by businesses and, finally, individuals. Open and circulating data is the demand of the trend of the times.

State-owned enterprises also have their own unique advantages, centralized resources to accumulate a large number of data, state-owned enterprises how to put data assets is the problem they face. In addition, whether the telecommunications industry, the financial industry or the development of digital oilfields, state-owned enterprises to open API ports, expand the platform to encourage independent developers to participate in the state-owned enterprise data analysis.

This is a big data age, and for young people growing up in this generation, the real-time, openness, and portability of data is unquestionable and natural. One of the most important problems in a hierarchical, unfair society is the monopoly and closure of information. This involves personal privacy, but it is also a flat power of the social needs.

Cloud computing and big data will be destined to bring about a revolution, both for society, for corporations and for individuals, and for a change in worldview. The internet is no longer a tool or platform to show the company, but a future mode of production, which is the key to competition and survival. Like the industrial economy, people cannot refuse to use electricity; the personal computer age, the company can not refuse to use the computer office; Big Data will bring a change in competition, when your customers are on the Internet, your market on the Internet, if the lack of customer data to judge the market understanding, the lack of core competitiveness- The IQ of the enterprise. Governments and individuals alike need to embrace the advent of the big data age.

Tian China Broadband Industry Fund chairman

(Responsible editor: The good of the Legacy)