Internet Velocity Test

Summit Forum: The large integration of mobile internet industry resources 2012 Guangdong Internet Conference was held December 14 to 15th at Poly World Trade Expo Hall Fifth, no. 1000th Haizhu District East Road, Guangzhou. This meeting is hosted by Guangdong Internet Association, organizing Committee of Guangdong Internet Congress and the media consulting Group. 　　The conference focuses on the Internet industry new ideas and digital media era, in-depth focus on the Internet industry resource integration. The mobile Internet Industry Resource Integration Forum by the Ministry of Communications Research Institute deputy chief engineer Chen Jinchao, China Telecom (micro-Bo) Guangdong company vice ...

Brain science and the Internet at the beginning of this century, with the development of the Internet, new applications and concepts have been born, in which the network of things, cloud computing and large data has been the focus of researchers, and has caused a wide range of research upsurge. Researchers have studied the internet of things, cloud computing and large data in different ways, and achieved many results. But there are still problems to be solved, such as the Internet of things, cloud computing, the relationship between big data and the Web, and how they are differentiated and correlated. At the beginning of this century, the Internet and brain science of cross contrast research, for the analysis of things networking, cloud computing ...

When it comes to big data, many people first think of internet companies, such as Google, Baidu and Alibaba. Internet companies in the large data analysis has indeed walked in the forefront of the industry, its aura also obscured the industry's big data shine. IDC defines big data with "4 V": volume represents greater capacity, produced represents a variety of data, velocity represents faster processing speed, and value means that large data can create more value. Tianjin Nanda General Data Technology Co., Ltd. (hereinafter referred to as the General) chief technical Officer Vounie said, such as ...

Gartner presented the BI concept in 1989. Gartner further upgraded the BI concept to advanced analysis (Advanced Analytics) in 2008. 2011, McKinsey explained the concept of large data. The names are different, but the problems they are trying to solve have never changed. However, now large data analysis technology can deal with more than 20 years ago, a larger, more diverse, real-time (Volume, produced, Velocity) data, that is, large number ...

In the internet age, large data is hot, many people must pro data, but can really say that the big data is not much, not to mention how to use large data to dig out the great business value. 　　How do you define large data? What are the characteristics of large data? This paper aims to clarify the concept of large data, illustrate the application of large data and explore the future development of large data. 　　Q1: Is big Data a commercial hype? The industry's definition of large data is 4 "V": Large volume (Volume), multiple species (produced), fast (velocity) ...

In the 2012, if there was a concept that was hotter than cloud computing, that would be big data. Large data applications are widespread, especially with the advent of the Internet, mobile Internet and various sensing networks, which are most consistent with the current characteristics. How to find value in the data analysis to guide the enterprise's daily business decision? Big data will give an answer. Recently, Taiwan Jingcheng Group Cloud Center and ETU brand director Cus Yu told reporters that the current large data is still in the early stages of development, the entire Asian region behind the United States, and the United States to talk about large data only 4, 5 years of time. Mortem ...

After the arrogant data has entered the people's view, it gradually becomes the focus that people pay attention to generally. Large data is the PB era of science, in essence, the challenge of large data is the PB era of science challenges, but also the cognitive science including data mining challenges. 　　So what about data mining in the big data age? In modern times, people often say that large data mainly includes three sources: the first is the large data of nature, the natural environment on Earth, very big. The second is the big data of life. The third and most important is the social data that people care about. These data are common ...

This article will be of use to you if you often need to go out and therefore need mobile apps to help you do your work, not just to spend time on a long journey.     And we've summed up the top 20 apps in the industry. Since the launch of the first ipad, the device has been hit by a loyal PC fan, who claims it is only a consumer product. Anyone who uses an ipad (or similar smartphone or tablet) knows ...

At present, almost all world-class internet companies have extended their business to large data industries. Regardless of the social platform, the price war or the Web portal competition, there is its shadow. 　　Large data, is from the technical hot word into a social wave, affecting all aspects of social life. What is big data? Large data or huge amounts of information, refers to the amount of data involved in a large scale to be unable to pass the current mainstream software tools, within a reasonable time to achieve capture, management, processing, and collation to help business decision-making more positive purpose information. (in Victor.

Reporter from the Shenzhen Institute of Chinese University of Hong Kong recently sponsored the "Rich Media data: awareness, processing, retrieval and Application" blog forum (phase II) to learn how to effectively mining rich media data to become a major research hotspot in the field of data, accurate modeling, design efficient algorithms, build core technology, To achieve http://www.aliyun.com/zixun/aggregation/13873.html "> data-driven operations, is currently the industry and academia are exploring and research of the main ...