The Application Of Large Dataset Will Increase

Published:2011/2/15 20:25:00 Author:Li xiao na From:SeekIC

Nowadays, the cloud computing is mature, and the competition between the tablet computer manufacturers. It is predicated that more TB data will be used for the commercial analysis. The large quantity of the TB data can be called "large dataset". According to the statement of IDC Company, the utilization of data will increase by forty-four times, and the world’s data amount will reach 35.2ZB. The file size of the single dataset will also increase, which is easy for the analysis and understand comprehension of them.

The magnate of memory EMC maintains that one thousand of its clients use the data over 1PB. This quantity will be more than 100 thousand in the year of 2020. Some clients will use larger data, such as 1EB and more. The speed of growth is always out of people expectation.

Glenn Gore points out that the large dataset has been emerged for about eighteen months. Many of the technical innovation and researches are round the analysis and management of large dataset. They can gain the meaningful information from the data which could not be dealt in the past. All these can not be done with the traditional technologies. Hosting company has begun to establish the TB dataset in the medical care and digital media industry. The data should be analyzed for more than one data, which will be distributed to several systems.

Currently, the hardware is able to deal with the dataset, but the knowledge and commercial model has not been adjusted. Some analysts maintain that the growth of video will drive the data to increase. What is more, the intelligent device, such as new power meter, will drive the development of larger dataset. The devices need many sensors to send the data. The main driving forces of the large dataset are the large companies in America, such as Google. They need the optimized method to analyze the data, thus the computation can cooperate with memory better. The related integrated circuit is 15KCD20CA.

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