Need For Data

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 ...

"Don't be misled by big data, large data, which is more about data mining than it is about big numbers," he said. "In the tenth session of the National Information Technology Expert Forum, the Chinese Academy of Engineering, China Internet Association Director Hequan pointed out that large data needs more emphasis on data mining, and the existing technology applications, talent, security and privacy issues, the most critical is to have a national large data strategy, Make it an effective way to change the mode of economic growth. The value of large data like the Shari NBA from the 80 's the beginning of the players in the game ...

"Don't be misled by big data, large data, which is more about data mining than it is about big numbers," he said. "In the tenth session of the National Information Technology Expert Forum, the Chinese Academy of Engineering, China Internet Association Director Hequan pointed out that large data needs more emphasis on data mining, and the existing technology applications, talent, security and privacy issues, the most critical is to have a national large data strategy, Make it an effective way to change the mode of economic growth. The value of large data like the Shari NBA from the 80 's the beginning of the players in the game ...

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 "Based on presets ..."

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 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 ...

"Tenkine Server channel April 23" The Big data application of the vast number has been beyond doubt. Corporate CEOs and CIOs talk about big data when they talk about business strategy and it model innovation. Large data drives Rapid Changes in infrastructure and $232 billion 2016, Gartner ("rapid change in the big-drive infrastructure", 2 016 Years ...

Recently, two things about large data are worthy of attention: first, in the middle of May, our school set up a large agricultural data research center. The second is the middle of June, the first domestic agricultural data industry technology Innovation Strategic Alliance was established in our school. 　　These two events will have an important impact on the next development of the school, and also bring new opportunities for the development of the subject. At present, large data research and application in the domestic just started, the agricultural data related research has not been deeply involved, it should be said that our school in this area to grab the first mover. 　　We must cherish and grasp this opportunity, and actively carry out relevant research, as soon as possible to achieve results. ...

Big data is probably the hottest technical term now. Heat means there is a bubble, there is a place worthy of reflection. Quartz's Christopher Mims May 6 published an article, called "Most of the data is not large, pretending that big data is actually a blind waste of money", justified, recommended first read. If you're not in the big data camp now, try to get some. After all, competition requires big data. If you have a small amount of data, you will be completely defeated by your competitors ...