2013 large data application and trend survey

The 2013 is considered to be a "year of big Data" with Trans-era significance. In this year, the data is more precious than ever, and even become a new energy source comparable to the oil resources, the big data is considered as the information and the Internet after the whole revolution of the message again peak. However, large data is not a slogan, and more enterprises need to be put into practice to dig out the potential value from the monotonous data.

A survey earlier this year pointed out that 28% of global companies and 25% of Chinese companies have started to practice big data. In order to get a better understanding of the real situation of large data application in Chinese http://www.aliyun.com/zixun/aggregation/13861.html > Enterprise, IT168 recently combined itpub, Chinaunix launched a special survey on large data applications and trends, revealing the challenges and solutions that big data poses to businesses.

Main findings of the survey:

1. The number of enterprises with new data of more than 500G per month increased from 16.67% in 2012 to 18.11%. Although the proportion of enterprises with large data has increased, there is still a big gap between the growth in data and the forecast.

2. The use of domestic large data products accounted for only 5.61% enterprises, domestic manufacturers to seize large data and information security, a major opportunity, will usher in the spring of growth.

3. Enterprises consider that the three biggest difficulties in the storage and processing of large data are data security, system performance bottleneck and data type diversification.

4. In the big Data age, the biggest challenge for businesses is the lack of professional data professionals.

5. For unstructured data, the most urgent need for enterprises to address is how to analyze these data.

6. The number of enterprises currently deploying large data has reached 21.89%, and the planned 1-year 27.92%,3721.html ">2014 year" will be the peak of large data deployments.

7. The first three factors considered in the process of large data selection are product performance, service and support levels, and compatibility with other applications.

8. Most enterprises choose large data products or solutions of the type of large data analysis software.

9. The major data technologies most concerned by respondents were large data analysis, cloud databases, Hadoop, memory databases, and data security, respectively, in the top five.

10. The respondents considered that the most important three functions in large data analysis were real-time analysis, rich mining model and visual interface.