Why Do We Need Big Data

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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 ...

In the big data age, we need to think this way

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 ..."

Take off the big data coat and get out of the big data dilemma

"Enterprise Observer" reporter Jianwen If you want to choose the last two years in the media, the top ten hot words, big Data no surprise will be selected. However, it seems that everyone is aware of the power of large data but cannot find a way to use large data.   Whether it's a business, a government or any other community organization, big data is so close, but so far away. "Big data has become a hot word for people to talk about, but few mention the ability that people need to have in this huge change, and countless businesses and individuals forget to ' count '." "As Vice president of the Business Intelligence Department of Alibaba Group ...

In the big data age, you need to think like this.

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 ...

Outraged, ten questions, big data.

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) ...

The big data that we misread in those years

Now, the industry and academia have been hot on the big data, whether it is academia or it circle, as long as can talk about some big data is very tall. However, big Data mining, big data analysis, big Data marketing and so on are just the beginning of course, there are many people directly criticize the big data or large data marketing to create privacy threats to us, what is the big data in the end? What is the value of it? Today, the industry and academia have been talking about a word, which is big data. Whether it's academia or it, it's big enough to talk about a little bit of data. However, large data mining ...

"Big Data" myth: Some companies do not need large data

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.

Farewell to the small time big talk Big data operation

April 20, 2014, in the "era of change: Reality and foresight" China Green Company annual Meeting "Big Data" change enterprise management and management Round Table forum, Xipei, Jiren, Junhao, Feng, Wang Wenjing and other Entrepreneurs Island neighborhood, on large data on the business management and management will bring what changes, What kind of management model and business innovation will bring to share. The following is a live transcript excerpts: Wang Wenjing (Ufida Co., Ltd. Chairman and CEO): Large data on the business and management will bring about what changes, or bring about the management model and ...

Peak conversation: Big data is a lie?

July 12 News, 2012 China CIO Summit Forum held in Jiuzhaigou, the following is the main title "Big Data is a lie?" Peak dialogue. Sun Yu: Welcome you back, our afternoon meeting to continue, the morning of our activities, in micro-blogging business launched a lively discussion, the Jiuzhai activities we use Sohu and Tencent Weibo, users can send: #2012中国CIO高峰论坛 #+ arbitrary content participation, Mobile phone users to participate in the way please see the big screen below, welcome attention and participate in the on-site interaction. I am "IT Manager World" magazine senior Editor ...

Farewell to the small time big talk Big data operation

April 20, 2014, in the "era of change: Reality and foresight" China Green Company annual Meeting "Big Data" change enterprise management and management Round Table forum, Xipei, Jiren, Junhao, Feng, Wang Wenjing and other Entrepreneurs Island neighborhood, on large data on the business management and management will bring what changes, What kind of management model and business innovation will bring to share. The following is a live transcript excerpts: Wang Wenjing (Ufida Co., Ltd. Chairman and CEO): Large data on the business and management will bring about what changes, or bring about the management model and ...

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