in 212, the word "big data" has been mentioned more and more. People use it to describe and define the mass data generated in the era of information explosion

and to name the related technological development and innovation. It has been on the cover of the column of The Wall Street Journal in The New York Times, entered the news of official website in the White House in the United States, appeared in some lecture salons with Internet themes in China, and even been written into the investment recommendation report by the sensitive smell of Guojin Securities, Guotai Junan and Galaxy Securities.

The data is rapidly expanding and getting bigger, which determines the future development of enterprises. Although many enterprises may not realize the hidden dangers caused by the explosive growth of data, as time goes by, people will increasingly realize the importance of data to enterprises.

As The New York Times said in a column in February, 212, the era of "Big Data" has arrived. In business, economy and other fields, decisions will increasingly be made based on data and analysis, not on experience and intuition.

gary king, a professor of sociology at Harvard University, said: "This is a revolution. The huge data resources have started the quantification process in all fields, and all fields, whether academic, business or government, will start this process."

in the era of big data, what is the most expensive?

Ten years ago, Grandpa Ge once said, "What is the most expensive in the 21st century?" -"talent", deeply impressed. However, today, ten years later, the era of big data has also brought all kinds of data that are constantly doubling in value. Due to the rapid expansion of network bandwidth and a large amount of data brought by various wearable devices, the growth of data has never stopped, and even exploded. [7]

In one minute, the amount of new data on Weibo Twitter exceeded 1,; The social network "Facebook" has more than 6 million views ...

What do these huge numbers mean?

it means that a brand-new means of getting rich may be in front of us, and its value is comparable to that of oil and gold.

In fact, while you are still using social platforms such as Weibo as tools for expressing feelings or making comments, Wall Street experts are digging up the "data wealth" of these Internet, using them to predict the market trend first, and have made good profits.

let's take a look-how they do it.

what can all this data do? There are six specific values:

●1. Wall Street sells stocks according to public sentiment;

●2. Hedge funds analyze the sales situation of enterprise products according to customer comments on shopping websites;

●3. The bank infers the employment rate according to the number of jobs on the job search website;

●4. Investment institutions collect and analyze the statements of listed companies to find clues about bankruptcy;

●5. The Centers for Disease Control and Prevention of the United States analyzes the spread of influenza and other diseases around the world according to the search of netizens;

●6. The campaign team of US President Barack Obama analyzes voters' preferences for presidential candidates in real time according to their Weibo. [1]

visualization

"Data is the new oil." Andreas Weigend, former chief scientist of Amazon, said. When Instagram was sold for $1 billion, Kodak, the world's largest imaging product and service provider founded in 1881, was filing for bankruptcy.

Big data is so important that its acquisition, storage, search, * * * sharing, analysis and even visual presentation have become important research topics at present [1].

"What a spectacular sight it is when a huge amount of data changes at that time? Watching all this in the background, will there be a feeling of being close to God and overlooking the sparks on earth? "

I once asked Liu Jianguo, a famous search engine expert in China. Liu once presided over the development of Skynet, the first large-scale Chinese and English search engine system in China.

You know, Liu Jianguo used to be the chief technology officer of Baidu. In such a website that has to deal with 17 million search requests from netizens every day (about 877 million in 213), if he just sits quietly in the background, he may not feel at ease for a moment. Sure enough, in addition to providing search services, Baidu gradually added the Baidu index, and later established an important product "Post Bar" and Baidu statistical products based on netizens' search data.

Liu Jianguo didn't answer this question directly. He thought about it for a long time and seemed to be lost in memories. The smile on his lips was secretive.

There are companies that already feel close to God's eyes in big data. For example, in Los Angeles, USA, companies claim that they have modeled the historical data of global night scenes and made a research report on investment in real estate and consumption after filtering out fluctuations.

in terms of data visualization, the latest story I received is that a friend who works in the logistics department of Cisco in the United States, a very smart Indian boy, was hired by Facebook at a high price and entered its data research group. He was later surprised to find that it was full of technicians and experts from logistics enterprises and supply chains. "Facebook wants to know if it can analyze users' paths and behaviors from the perspective of logistics and processes."