Panorama scan of China's large data and it status

Big data is raging, and it has made every enterprise mired in it, but almost every business is convinced of the commercial value of the big data.

It is worth emphasizing that in order to tame large data, mining large value from large data, clear recognition of large data is the inevitable first step. In response, ZDNet launched a market research on China's large data recognition and application, and was involved with 447 users from all walks of life.

Through the analysis of research data, the panoramic impression of China's large data has gradually become clear. This article will combine the research data initiated by ZDNet, scanning large data on the impact of enterprises in China, the specific analysis of large data in China's industry, region, size distribution, the status of large data and growth situation, as well as the impact of enterprise it, so that enterprises fully grasp the status of large data and development pulse, to meet the big data changes.

I. Industry distribution of large data in China

In the sample, including government/public utilities, logistics retailing, culture and entertainment, energy/manufacturing, finance/insurance, tourism, it internet telecommunications and other industries, can see that large data has been a wide range of industry attention.

The largest number of industries involved in large data surveys came from the energy/manufacturing sector, with a ratio of 44.9%, followed by the government and public sector, with a ratio of 17%, and the third in the financial and insurance sector, at 10.3%. Next, the Logistics Retail (8.7%), cultural Entertainment (6.3%), definable Internet/Telecommunications (5.8%), Tourism (3.36%).

The degree of participation in large data research from various industries has actually reflected the level of concern about large data in various industries, and the energy/manufacturing industry is more sensitive to market data, and the historical commodity market has a strong reference for future product design, risk assessment and market orientation. With the imposition and transformation of the Government and public service consciousness, as well as the more intelligent governance and management concept, the demand for data management and analysis is also increasing. In the finance and insurance industry, it is the traditional data volume large, and in the new era better and faster detection of customer financial habits, financial and insurance industry will be the future competition must do. Secondly, the value of logistics retail data is also becoming more and more apparent, becoming the fourth in the survey industry, and the emerging, data accumulation (especially unstructured data) of the history of the shallow cultural entertainment, definable internet/Telecommunications industry is ranked fifth and sixth. It seems that large data has become a topic of concern and discussion among many industries, whose influence has been covered from the traditional manufacturing industry to the new cultural entertainment, IT, Internet industry.

Two. Geographical distribution of large data in China

In the sample distribution, we can basically reflect the difference of China's economic development degree, in the sample, from East China (Shandong, Jiangsu, Anhui, Zhejiang, Fujian, Shanghai) The largest sample, up to 32.7%, followed by South China (Guangdong, Guangxi, Hainan) 19.7%, The third is North China (Beijing, Tianjin, Hebei, Shanxi, Inner Mongolia), occupies 16.8%, it is not difficult to understand that the large data on the region mainly concerned with coastal economically developed areas.

The fourth to sixth names were Northwest (Ningxia, Xinjiang, Qinghai, Shaanxi, Gansu) 10.7%, northeast (Liaoning, Jilin, Heilongjiang) 7.8% and Southwest (Sichuan, Yunnan, Guizhou, Tibet, Chongqing) 7.6%. Therefore, we can also think that the degree of attention to large data is proportional to the degree of economic development.

Three. Large data in China's enterprise size distribution

In this survey, the largest number of participants in the 100-500-person medium-sized Enterprises, up to 42%, followed by more than 500 large enterprises, 33.3%, 1 to 99 of small enterprises 24.6%. Although the data itself is only a case, it can be seen that the focus on large data is related to the size of the enterprise, in this survey, large and medium-sized institutions accounted for 75.3% of the proportion, visible with the growth of business time, the scale of the continuous expansion of historical data accumulation, the attention to large data is higher.

Four. Enterprise Data Scale Status

From the point of view of data scale, the big data age is probably already coming. Overall, nearly 55.03% of the enterprise data scale has exceeded 1TB, more than half the total sample. 34% of the enterprise data scale in the 1tb-10tb,11.19% enterprise data scale in 10tb-50tb,9.9% enterprise data scale above 50TB, while the remaining 44.97% of the enterprise data scale also between 500GB-1TB. Among them, as a large number of small and medium-sized enterprises expand rapidly, there will be more and more enterprise data will enter the TB era.

Five. Status of enterprise data types

In terms of enterprise data types, from a single point of view, although only structured data has the largest share of the enterprise, accounting for 38.26% of the total number of samples, but in other terms, except for the share of the enterprise only structured data, 61.74% of the enterprise has already appeared semi-structured and unstructured data, This shows that the impact of semi-structured and unstructured data on traditional structured data is large, semi-structured and unstructured are the salient features of large data.

In addition to only structured data in 38.26% of enterprises, 26.39% of enterprises have structured data and semi-structured data, and 22.81% of enterprises have both structured data and semi-structured data as well as unstructured data.

While structured data is still the mainstream of enterprise data types in terms of both structured and unstructured data, the growth of unstructured data cannot be ignored and the growth trend is emerging.

Six. Enterprise Data Growth Scale

In the enterprise data growth rate, most enterprise data scale annual growth rate below 20%, reached the 47.2%,41.83% Enterprise Data Scale annual growth rate in 20%-40%,7.1% enterprise Data Scale annual growth rate in 40%-60%,2.23% Enterprise data size of the annual growth rate of 60%-80%, more than 0.45% of the enterprise data size of the annual growth rate of up to 80%-100%. It can be seen that the growth of enterprise data is already the normal, but the growth rate of each enterprise is different, at the same time can be foreseen with the expansion of enterprise scale, information process accelerated, data growth will continue to climb.

Seven. Enterprise attitudes towards large data

In the attitude of the value of the data, in addition to 6.9% of the enterprises believe that the data is not worth, the vast majority of enterprises believe that data has or may have high value, the value of large data has been widely recognized in the enterprise. In the future, as more and more large data analysis platforms and tools become widely used, the value of large data will be further released and recognized by the enterprise.

Eight. Industry infrastructure platform Status

It can be seen that x86 has become the mainstream platform for enterprise IT architecture, close to 93%, the advantages of Intel's x86 platform unmatched. It can be concluded that the x86 platform in the enterprise IT environment data processing applications, has great potential, and the latest large data processing technology, such as Hadoop was born in the x86 environment, this shows that the x86 platform as the main infrastructure of the organization, In fact, there is already a good infrastructure for large data processing, but it may not have been widely noticed that the Intel based x86 platform is "ready" and will undoubtedly become the most promising hosting platform for large data processing. It also indicates that the development potential of x86 platform can not be neglected in the field of large data processing and analysis.

Summary：

Through the market research data of large data cognition and application initiated by ZDNet, we have really felt the big data to China's various industries, the size of the impact of enterprises, large data has become a hot topic in many areas of concern and discussion, with the development of regional economy, the expansion of enterprise scale and it information development, The growth of big data will also rise further, and it also heralds greater business opportunities for big data-related industries.

From the enterprise IT Infrastructure platform, the Intel-led x86 platform has become an absolute leader, with the X86-intel platform taking a leading position. And now most of the big data solutions are born on the x86 platform, it can be imagined that in fact, most of the enterprises have a potential large data platform, as the attention to large data increased, and the actual demand for a significant increase, the x86 platform in this area will have a greater role. In the next installment, we will continue to interpret the research reports in conjunction with database applications and related technologies.

(Responsible editor: The good of the Legacy)