The revelation of Big Data "forerunner"

China's IDC Circle July 15 reported: The accompanying large data boom, is the industry-wide focus on data centers. Recently, Korea has had a major breakthrough in the field of data center construction. The South Korean government has announced that it will build an Open data center where citizens, businesses and groups can refine and analyze large data. Globally, countries are recount in building large data centers. The experience and lessons of data center construction abroad are of great significance for our country in the initial stage.

Planning to avoid disorderly development

The informatization construction of our country is often promoted by the influence of one or two new concepts. In recent years, "Digital Earth", "Digital City", "Internet of Things", "intelligent City" has been a continuous deduction of information construction one after another climax. In recent years, there is a new information on the hot word Flash debut, that is "big data."

From the perspective of technology development, large data tight links, network social communication, multimedia and other information production tools large background, to solve the problem of the explosive growth of information resources problems of technical means, and therefore by people's high attention and eagerly look forward to. So, just before the U.S. government launched the "Big Data research and development program" on March 29, 2012, some large IT companies were also intensively promoting their big data products this year.

However, the surface prosperity still has a disorderly development of the mishap. At present, the data center of our country is still dominated by the traditional data center of medium and small scale, which is less than 400 square meters of small data center more than 90%. Due to the technology, capital and talent, there are many problems such as poor energy efficiency, low level and repeated construction. At the same time, due to the complexity of maintenance technology, high cost, difficult operation, and rapid changes in user demand, many data centers are difficult to keep pace with technological progress. From the current domestic relevant reports of large data, most of the electronic business enterprises on market information resources of large data development and application, but have not seen large data on basic science research, key industries impact of the results.

In the United States, in March 2012, the White House Office of Science and Technology policy issued a large data research and development plan, and the formation of the "Big Data Advanced Steering Group", which marks the United States to increase the large data to the national strategic level. From the U.S. government's large Data research and development program, Natural science research, environmental protection, biomedical research, education and national security areas are the focus of large data technology breakthroughs.

In the construction of the large data center, China should draw on the advanced experience of the United States, and increase the large data management to the national strategic level and pay attention to it from the national strategic level. The Government should take the responsibility department to lead the special research, from the country level overall consideration our country big data development strategy. To establish relevant research programs, guide and promote the research and utilization of large data by various ministries and industry organizations, promote large data application in various fields and industries, and enhance scientific decision-making ability. In addition, in order to grasp the strategic opportunity in the large data age and actively create a good ecological environment for large data industry, the Government should formulate an active industrial policy, promote the innovation and development of large data industry and give certain preferential policies.

Green Development to save energy and reduce emissions

Energy-saving and emission reduction is an important guarantee for national sustainable development and a solemn commitment of our country to the international community. In the construction of large data centers, the problem of energy consumption must be paid enough attention. In the United States, data centers have accounted for 2.2% of total electricity consumption. Companies such as Apple, Amazon and Microsoft have been criticized by Greenpeace for their energy consumption in the data center.

According to the US Environmental Protection Agency, energy consumption in data centers doubles every five years. In the United States, data center energy consumption accounted for 2% of the U.S. power grid in 2011, and according to IBM, energy costs account for 50% of the data center's total operating costs, and 90% of all the data available to the entire human civilization have been generated in the past two years; by 2020, The world will produce 44 times times the size of today's data. According to the relevant data statistics show that although the domestic data center construction development is relatively rapid, but the energy consumption problem is also more prominent, at present the domestic data center Pue average value basically is above 2.5, with Europe and America region's PUE (energy use efficiency) the general values 1.8 below also has the big disparity.

June 12, 2013, Facebook disclosed its data center in Luleå, a town in northern Sweden. The data center is the first data center that Facebook has built outside the United States and the largest data center in Europe. Luleå is located on the northern coast of the Baltic Sea, just 100 kilometers from the Arctic Circle, and the local climate factor is one of the main reasons Facebook chose to set up a data center in Luleå. According to Facebook, since 1961, the temperature of Luleå is no more than 30 degrees, more than 24 hours, and the establishment of data centers in the region will save a large amount of cooling costs.

At present, from the public report, many regions in China have begun or plan to build large data centers, hope in the construction process ahead of time to consider the problem of energy consumption, to avoid repeating the mistakes of some large data centers in Western countries. Fortunately, China's relevant departments have been aware of this problem, planning ahead. At the beginning of this year, in the Ministry of Information on the layout of the construction of data center guidance, pointed out that the focus on the promotion of Green data center and green power supply, clearly requires the new large cloud computing data center Pue value must be below 1.5, the established data center through integration, transformation and upgrade, the Pue value should be reduced to less than 2.0.

Establishing legislation to fill legal gaps

Large data from data generation, information collection to data dissemination, analysis and application, involving all levels. At present, there are some legal gaps and deficiencies in the collection and use of data, and the developed countries also face the same problems in the construction of large data centers, and the relevant legislation should include the following contents.

Promote data disclosure. The key to promoting the development of China's big data is the change of government idea. Data disclosure should be promoted, which would lead to public data from government to industry, allowing the free flow of data, which would increase its added value. The United States and Britain already have big government data sites, one step ahead of data disclosure.

strengthen privacy protection. NTT, Japan's largest mobile telecoms operator, began planning for big data DoCoMo2010 years ago. NTT DoCoMo not only collects the user's own age, sex, address and other information, but also makes fine forms, requiring the user to fill in more details for the business. Although the information integrity is high, but because the Japanese society pays great attention to the privacy, the NTT DoCoMo over the years in the big data operation still stays in the planning stage, to how crosses the privacy question to carry on the business still to be more troublesome. NTT DoCoMo has developed three stages for the future commercialization of large data: first, the establishment of a database, followed by the establishment of flexible mechanisms, and finally the implementation of flexible, but currently in the first phase. The most radical of the steps the US operator, Verizon,verizon, has started to sell its user data directly to a third party through a service called precision harsh insights.

Therefore, for our country, in order to ensure the sustainable and healthy development of the large data center construction, we should adopt legislation or regulations to properly deal with the contradictions between the government, the Enterprise Information Disclosure and the protection of citizens ' privacy rights.

Pay attention to talents training in a rainy day

The construction of large data center is for the later mining application of data. While large data applications are being fermented around the world, there is a general lack of data scientists in many countries. The need for large data processing, regardless of the decision of the enterprise to adopt which solution, ultimately requires data scientists to use these large data, in order to activate the value of large numbers, reconstruct the relationship between the data, and give new meaning, and then into the enterprise's competitive weapons.

In the process of large data processing, data scientists are the key to the ability to ignite the value of large numbers. However, the development of data scientists is not easy, because data scientists must have 3 conditions, including in-depth understanding of business and organization within the enterprise, with data mining and other statistical application knowledge, familiar with data analysis tool operations. At present, domestic data analysts are better at dealing with the problems that have occurred, identifying the source of the problem, and eliminating the problem as soon as possible, but the relative lack of ability to explore the unknown problem. According to Gartner, a market-research firm, up to 72% of companies believe that the value of large data is in predicting the future. However, such application needs and domestic data scientists do not match, is expected to become the largest domestic development data application challenges.

Therefore, whether from the government or the enterprise perspective, should be proactive, early to do large data personnel training, do not wait until the large data center after the establishment of the people to find, will cause large data center resources of the Great waste.

China's large data technology and services market will grow from $77.6 million trillion in 2011 to $617 million in 2016 and a combined growth rate of 51.4% over the next 5 years, according to the report of the 2012-2016-year forecast and analysis of China's large data technology and services market, IDC recently released. In the face of good development situation, our Government and enterprises should take full advantage of foreign experience and lessons, stand on the "forerunner" of the shoulder innovation, for our large data center construction and large data industry development to add vitality.

News background

South Korea to build first open large data center

South Korea will build a large data center to help the technology industry catch up with the world's top technology companies. This is the country's first Open data centre, where anyone can refine and analyze large data.

The Ministry of Science, Communications and future planning of Korea said it would build large data centers with the National Information Society (NIA). The Ministry of Science says that because of the lack of the necessary infrastructure and advanced experience to drive this burgeoning area, South Korea's big data technology lags behind the world's top technology companies, such as Google and Amazon, for 2-5 years. An official at the ministry said it was hoped that the large data center would become an experimental base for large data companies and would train researchers for universities. The center plans to create an infrastructure solution that anyone can use to analyze large data. The Center for Small and medium-sized enterprises, risk enterprises, universities and ordinary citizens, users can use large data technology to solve business or research problems.

Korea's large data center in June this year, the hardware and software bidding, the basic web platform will be completed in August 2013, the September trial run. The center is located in the NIA Building, and its network platform is connected to the government data portal service that stores national statistics and other public information. The centre is based on the innovative economic framework proposed by South Korean President Park in February 2013, which calls for information technology as a new pillar of South Korean economic growth. (Niuzea)