Big Data Era Comes
data, and name the technological developments and innovations related to it. It has been on the New York Times, Wall Street Journal column cover, into the U.S. White House official website of the news, appearing in some domestic Internet-themed lectures salon, and even by the keen sense of smell of the National Golden Securities, Guotai Junan, Galaxy Securities and so on written into the investment recommendation report.
Data is rapidly expanding and getting bigger, and it determines the future development of the enterprise, although many companies may not realize the hidden danger of the explosive growth of data to bring about problems, but with the passage of time, people will become more and more aware of the importance of data to the enterprise.
As the New York Times put it in a February 2012 column, the era of "big data" is upon us, and decisions in business, the economy, and beyond will increasingly be based on data and analysis rather than experience and intuition.
Gary King, a professor of sociology at Harvard University, said, "It's a revolution, and the sheer volume of data resources is starting a process of quantification in all fields, whether it's academia, business, or government, it's going to start in all fields."
What's most expensive in the age of big data?
A decade ago, Ge said, "What's most expensive in the 21st century?" -- "Talent", thought y. Only, ten years later, the era of big data has also brought a variety of data whose value keeps doubling. Due to the rapidly expanding network bandwidth and the large amount of data from various wearable devices, the growth of data never stops, and even a blowout growth. [
In a minute, more than 100,000 new tweets are posted on Weibo, and more than 6 million views are logged on the social network Facebook.......
What do these huge numbers mean?
It means that a whole new means of getting rich may be at hand, one that is worth as much as oil and gold.
In fact, when you are still in the microblogging and other social media platforms as a tool for expressing feelings or opinions, Wall Street's wealth masters are tapping into the Internet's "wealth of data", a step ahead of others to use it to predict the market trend, and has made a good profit.
Let's take a look at how they're doing it.
What can these data do. There are six specific values:
●1, Wall Street sells stocks based on public sentiment;
●2, hedge funds analyze corporate product sales based on customer reviews on shopping sites;
●3, banks infer employment rates based on the number of jobs on job boards;
●4, investment institutions collect and analyze statements from publicly traded companies, looking for traces of bankruptcy;
●5, the U.S. Centers for Disease Control and Prevention analyzes the spread of influenza and other epidemics worldwide based on searches by Internet users;
●6, U.S. President Barack Obama's campaign team analyzes voter preferences for presidential contenders in real time based on voters' tweets. [1]
Visualization
"Data is the new oil." Andreas Weigend, former chief scientist at Amazon, said.Instagram's sale for $1 billion comes as Kodak, the world's largest provider of imaging products and services founded in 1881, is filing for bankruptcy.
Big data is so important that its acquisition, storage, search, ****enjoyment, analysis, and even visualization to present it have become important research topics today[1].
"What a spectacular sight it is when time-changing, massive amounts of data come into view. Watching it all from the background, would it not be close to the feeling of God looking down on the earth's stars and fire?"
This is a question I've asked Liu Jianguo, China's leading search engine expert. Liu has led the development of China's first large-scale Chinese and English search engine system, "Skynet".
You know, Liu was Baidu's chief technology officer, and in a site that handles 170 million search requests a day (877 million in 2013), he probably couldn't rest easy for more than a few moments if he was just sitting quietly in the background. Baidu is really in addition to providing search services, gradually added the Baidu index, and later established an important product based on Internet user search data "bar" and Baidu statistics products.
Liu did not directly answer the question, he thought for a long time, seems to be in memory, the corner of the mouth with a secretive smile.
Instead, there are companies that already have a sense of being close to God looking down on them in big data, and there are companies in Los Angeles that claim to have modeled historical data on the global nightscape, filtering out the fluctuations, and then making a research report on investing in real estate and consumption.
In terms of data visualization and presentation, the latest story I received was that a friend who worked in Cisco's logistics department in the U.S., a very smart Indian-origin guy, was overpaid by Facebook to join its data research group. He was later surprised to find out that it was full of technicians and experts from logistics companies and supply chain, "Facebook wanted to know if it could analyze user paths and behaviors from a logistics perspective and process approach."