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Next stop for Big data: fast data?

Summary: When all our behavioral data are networked, in the cloud, our next step should be what the "big data" can be analyzed to make predictions, but perhaps this is only a prediction, because "accidental", because of "people's thinking" and other reasons, many times, humans do not follow the common sense of cards, so, Can your data accurately predict your behavior? The answer may be yes, but not quite large data, but need fast data! Next stop for Big data: fast data? We will encounter the following situation in life or work: The company's goddess mm has always liked to eat Haagen-Dazs ice cream, a few ...

The fast-seeding CEO lost one months, exposing the interest chain behind the fast sowing

By virtue of their own technical advantages, the rapid occupation of the player market, but now in the fast-seeding encounter a predicament, so have to break with the past. And behind the events, tens of thousands of small and medium film stations once received the "blessing" will not be returned.   Where will they go, for them, and for the future?   The best of times is over. In the afternoon of May 20, the Shenzhen market Supervision authority on the Shenzhen Fast Broadcasting Technology Co., Ltd. (hereinafter referred to as "fast seeding Technology") served the hearing notice of the proposed administrative penalty, written in the notice of the proposed ...

Big Data 9 Lessons

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 ...

Big Data launches "fast track" in China to usher in a new era

"Big data is now a huge thing."   Recently, the U.S. government released a new version of the Big Data Research program, White House Director of Science and Technology Policy Office Holdren said he had predicted 2012 big data will be a "big deal", now look conservative.   Time to go back to June, Snowden 41 slides, let the big U.S. Data monitoring project "Prism" surface, chilling. 2013 by some experts called "Big data year."   The optimism and anxiety of the big data age are fully demonstrated during the year. Big change IDC (International Data Company) ...

Large data in the eyes of a liberal arts professor: Multi, fast, rough, consumption

With the current network language, I am a liberal arts man. Mo Yan recently said in his acceptance of the Nobel Prize that literature is not science and literature is useless. I would like to explain that literature is not equal to Uvenko, liberal arts are more extensive, can be further divided into the humanities and social sciences. Social science research has always been dealing with data, of course, used to be small data, the number of low, slow, time-consuming, but good quality, but also provincial resources, in line with the current green concept. On the basis of my experience in studying small data for many years, I am talking about some of the views on large data, which is also a consensus of the social sciences. Readers read ...

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The analysis philosophy of LinkedIn Zhangxi dream: Big Data to do small do fast

In many people's minds, LinkedIn is a very different and mysterious social networking site, but its value is gradually getting the world's attention. At a recent 2013 Teradata Summit, the director of the Business Analytics Division of LinkedIn, Zhangxi, interviewed by the IT specialist network, described how LinkedIn creates value for the enterprise through its use of data analysis technology. LinkedIn's goal is to connect all the world's professionals so they can be more efficient and successful ...

The analysis philosophy of LinkedIn Zhangxi dream: Big Data to do small do fast

In many people's minds, LinkedIn is a very different and mysterious social networking site, but its value is gradually getting the world's attention. At a recent 2013 Teradata Summit, the director of the Business Analytics Division of LinkedIn, Zhangxi, interviewed by the IT specialist network, described how LinkedIn creates value for the enterprise through its use of data analysis technology. LinkedIn's goal is to connect all the world's professionals so they can be more efficient and successful ...

China with "Big data"

The time is 1948, the location is Northeast China. Liaohsi into the critical phase. For the commander of the four field army Lin Biao, the most important goal after the Jinzhou is to defeat the Kuomintang new six troops. The method used by Lin Biao is to listen to the "intelligence report" every day, and the officers on duty should read out the situation and seizure of the troops. It's almost uniform data, and it's boring. Until one day, Lin Biao suddenly discovered that in a two-armed encounter in the Hu Shack, the ratio of the spear to the spear was slightly higher than the other battles, and the proportion of the car and the cart was slightly higher than the other battles.

China with "Big data"

The time is 1948, the location is Northeast China. Liaohsi into the critical phase. For the commander of the four field army Lin Biao, the most important goal after the Jinzhou is to defeat the Kuomintang new six troops. The method used by Lin Biao is to listen to the "intelligence report" every day, and the officers on duty should read out the situation and seizure of the troops. It's almost uniform data, and it's boring. Until one day, Lin Biao suddenly discovered that in a two-armed encounter in the Hu Shack, the ratio of the spear to the spear was slightly higher than the other battles, and the proportion of the car and the cart was slightly higher than the other battles.

"Big Data" will change the status quo of China's industry

The time is 1948, the location is Northeast China. Liaohsi into the critical phase. For the commander of the four field army Lin Biao, the most important goal after the Jinzhou is to defeat the Kuomintang new six troops. The method used by Lin Biao is to listen to the "intelligence report" every day, and the officers on duty should read out the situation and seizure of the troops. It's almost uniform data, and it's boring. Until one day, Lin Biao suddenly discovered that in a two-armed encounter in the Hu Shack, the ratio of the spear to the spear was slightly higher than the other battles, and the proportion of the car and the cart was slightly higher than the other battles.

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