Large data technology and future business models

April 26, 2013-27th, the 2013 Global Technology Summit hosted by the 51CTO Media Group's wot (World of Tech) brand was held at the Renaissance Beijing Capital Hotel. This summit will focus on large data infrastructure and the application of the upper layer of the ecosystem, to solve large-scale data-related problems, explore large data base solutions, to stimulate the competitiveness of data mining, make the data sound. 51CTO as the host of this summit, will be the whole video, text broadcast live coverage of this data feast, more content please click on the topic: 2013 Big Data Global Technology Summit.

2013 major Data Global Technology Summit topics

In the afternoon of 27th, the Internet and large data session, the Youku Potato data Platform architect Fuje, Admaster Research and Development deputy general Manager Ludan, North network Search Mining and security Laboratory director Zhang Huaping, Dangdang Senior development director Fu Qiang, Google United States Headquarters senior architect Ming Lei, Intel China large data Product manager Shanhai, Taobao senior technical expert setae together on large data-related technologies and future business models.

In the course of the discussion, Setae first presented the biggest challenges and changes to the big data, to this Zhang Huaping, the biggest challenge and change of large data is the change of methodology and practice, the large amount of data and the value of data, we should first understand the data from macroscopic view, and simple analysis can not meet the requirement of large data. For example, a microblog now contains too much content. If the large data from the macro first analysis, at least can know the situation of data 80%, then do microscopic analysis.

Shanhai also expressed the view, he to oil comparable to large data, different applications to get the results are not the same, he believes that large data is divided into many levels, now enterprises can do is the underlying framework to match the existing technical means of the enterprise, and then consider how to mining, how to make the data create value.

The same problem, Ming Lei believes, is that the current volume of data is not only large, but also diverse, structured, semi-structured, unstructured data, if all stored, large and not fine, how to optimize the data, this is the biggest challenge.

The question of the accuracy of abstract analysis was mentioned in Ming Lei's speech, which was discussed further. In this respect, Zhang Huaping that the sampling analysis is scientifically biased, enterprises need to according to their own business needs, after the logarithm is understood, to extract their own data required, which in fact needs more refined analysis, and even the machine can not be completed, the need for manual extraction, this is the first step, and then sampling analysis more suitable for business needs.

Ludan also participated in the discussion, and he believes that large data should first understand the data to know what is needed.

The seven experts not only discussed the big data technically, but also discussed the business model of large data in the future, and the audience participated in the interaction. Guests believe that it is the service industry, all technological progress, must be combined with traditional industry applications, large data trend is beyond doubt, the new business model will bring disruptive effect, which has been verified in the previous technological development. Some guests have proposed that the future of large data will promote data mining, artificial intelligence and other areas of development, the future of unmanned, intelligent robots will become possible. The atmosphere was very warm.

(Responsible editor: Lu Guang)