Why Do We Need Data

Victor Maire Schoenberg and Kenneth Couqueil in the big Data age tell us the 4V features of large data, namely volume (mass), velocity (high Speed), produced (variety), veracity (real). Large data must be complex compared to small data. However, complexity is definitely an opportunity, not a problem, for us. In the face of the big data age, how to embrace the big data, from the change of thinking way to begin. From "Based on presets ..."

In today's world, it is moving from data processing era to large data processing era. 　　This year, the "Big Data" first appeared in the government's work report, which shows that our awareness of the importance of big data has risen to the national level. 　　Like the advent of the Internet, big data is not only a revolution in information technology, it is changing people's lives and the way we understand the world, and become an important source of more new inventions and new services. What are the opportunities for the Chinese talent team when the Big data processing era arrives? What challenges are presented?...

Victor Maire Schoenberg and Kenneth Couqueil in the big Data age tell us the 4V features of large data, namely volume (mass), velocity (high Speed), produced (variety), veracity (real). Large data must be complex compared to small data. However, complexity is definitely an opportunity, not a problem, for us. 　　In the face of the big data age, how to embrace the big data, from the change of thinking way to begin. From "structured database based on presets" to "without presets ...

The Great Science project is the newest paradigm to advance major science and technology projects by means of engineering, planning, pooling of science and technology resources and power, and it is a revolution in the evolution of scientific research from traditional "handicraft small workshop" to modern Large-scale "workshop". The "Corps combat" of the great scientific paradigm will achieve the breakthrough in the present day and the history with the large-scale of the space and domain dimension, and even beyond the long scale of the time domain dimension. Great science is the cradle of large data, and large data is the product of great science. The way of the King of Science begins with the production of large data. The big data in human history comes from the field of science and technology, precisely from ...

The first thing to note here is that the "user" in the title refers to the user of the data, or the data demander, who are often not the external users for the website or the enterprise. The consumers of the data are usually all departments and fields within the company personnel. Why do we ask this question, in fact, we often encounter such a situation: the company's top complain that the report can not see useful things, is not able to organize the statements (so busy below), but how? Or what data do they need in the end? (Well, the high-level needs are generally not explained, we have to try since ...

Seems to be in the Pinterest after the shopping guide mode in China has a rapid development, but this model is not a copy of the foreign monk, on the contrary, the Chinese Internet environment is the real decision factor-we need to guide. Can not expect the search engine in 2006, Baidu did its own electricity quotient website "have ah" after, Taobao "sealed" Baidu this entrance. 　　This move is very crucial, although Baidu is still very lucrative in the electric business advertising, but Baidu has essentially lost the online retail market. Why is it that in essence ...

Intermediary transaction SEO diagnosis Taobao guest Cloud host technology Hall oral/guang.com founder White Jay Edit/I World Network business seems to be in the Pinterest after a big round shopping guide mode also in China has a rapid development, but this model is not a copy of the foreign monk, on the contrary, 　　The soil of China's Internet environment is the real determinant-we need a shopping guide. Can not expect the search engine in 2006, Baidu did its own electric dealer website.

The 2012 "Big data" development is in full swing, but the author of the paper, SiSense vice president of the data analysis company Bruno Aziza that not everyone needs big data. "Big Data" is everywhere. From social media start-ups to Central Park in New York, every company seems to be deploying big data analysis. The data from Gartner, a leading data analyst, seems to be proving the point: A recent report shows that big data will drive 2012 of global IT spending of $28 billion trillion, up from 230 by 2016.

Innovative report from the dean of top research institutes when all our actions and our lives can be "data", the company that holds the data is like owning a rich gold mountain. 　　As Victor Maire-Schoenberg says, the big data age is "the future that has happened," and in this already-occurring future, there is no bystander. December 19, 2013, by the boutique media "digital Business Times" sponsored by the "Great data creation of the era of Subversion" 2013 China Summit Forum in Beijing to make a grand Holiday Crowne Plaza Hotel ...

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) ...