How to understand the "big Data Age"?

Q: Comrade editor, hello. After the "Internet of Things" and "cloud computing", the term "big data" is more and more mentioned. Everyone is talking about "big data", everyone wants to use good "big data", peremptory entered the "Big Data Age". How do I understand the "big Data Age"?

Large data "is only a reference, and its form is a data cloud. People use it to describe and define the huge amount of data generated in the era of information explosion, and name the related technological development and innovation. Let's look at a set of data on the Web can have a vivid understanding of "big data": On average, there will be 60 photos uploaded to the Web every 1 seconds, 60 hours of video uploaded to YouTube every 1 minutes, and 1 in Facebook every 4 billion days. Each smartphone user will install 65 applications on average; every day, the Internet produces all the content can be engraved with 168 million of DVDs, each day sent more than 294 billion messages (equivalent to two years in the United States, the number of paper letters), issued a community posts of 2 million (equivalent to "time" Text volume of the magazine 770 years). In large data, the structured data stored in the database accounts for only 10%, and a large number of unstructured data such as mail, video, microblogging, posts, page clicks occupy another 90%.

"Big Data" has several distinct characteristics. One is the large amount of data. The starting unit of measurement for large data is at least P (1000 t), E (1 million t), or Z (1 billion t). The other is a wide range of data types. including blog, audio, video, pictures, geographical information and so on, many types of data processing capacity of the data to put forward higher requirements. Third, the data value density is relatively low. For example, with the wide application of the Internet of things, information perception is ubiquitous, information is abundant, but the value density is low, how to complete the value of the data more quickly through the powerful machine algorithm is a difficult problem to be solved urgently in the big data age. Four is fast processing speed, timeliness requirements. This is the most significant feature of the "Big Data" distinction from traditional data mining.

The first "Big Data Age" came when McKinsey, the world's leading consultancy, said: Data has penetrated into every industry and business functional area today, making it an important production factor. The excavation and application of massive data indicates a new wave of productivity growth and consumer surplus.

Today, the Internet and big data have begun to profoundly affect the company's traditional business. For example, Nike, which is known to all, has more than 10 million registered users of its digital motion platform Nike, and its collection of user movement data has become an important reference for Nike in product design. Data collected by Nike show that a large number of users are running at night. After understanding this, researchers began to think, what do people need to run under dim conditions? There is no doubt that visibility and security. Therefore, in the design of shoes when added reflective material, in the design of clothing also added reflective material. This is just the epitome of the internet and the "Big Data" impact on Nike.

It is no exaggeration to say that the huge numbers generated on the Internet each day in some sense means wealth, meaning politics. Wall Street sells stocks on the basis of popular sentiment; hedge funds analyze the sales of companies based on customer reviews of their shopping websites; The bank infers the employment rate based on the number of jobs on the job site; investment agencies collect and analyze listed companies ' statements to find clues to bankruptcy; The CDC, based on Internet search, Analysis of the global spread of influenza and other disease; U.S. President Barack Obama's campaign, based on the electorate's microblog, analyzes voters ' preferences for presidential candidates in real time.

The "Big Data Age" provides unprecedented space and potential for people to gain deeper and more comprehensive insights. At the same time, there are new challenges to human data control, especially for Internet companies, and some American companies even believe that the "big Data Age", like "Aliens" and "Armageddon", is, in some ways, formidable. But in any case, the massive data is already in front of, is the opportunity inevitably accompanies the challenge, the key is how to respond.