Big Data makes you "transparent."

When you pick a product in a big shopping mall, the sensors in the mall have recorded the time you walk into each store, and the backstage managers are using the information to analyze whether the publicity boards in front of the shop are playing a role; When you type, your input habits and every error correction will be recorded, To perfect its automatic completion and spell checking system ... Inadvertently, big data has penetrated your life.

The past year has been called the "Big Date". Major data related to the core technology is increasingly breakthrough development, business value gradually highlighted, and began to penetrate the IT industry to the traditional industry. Internet companies with massive data pools are the first to use large data technology to analyze user behavior, significantly reducing advertising and procurement costs. Other industries soon saw the huge commercial potential of big data, fast-moving high-speed trains with big data: clothing companies can calculate colors from your search traces, and finance and insurance companies can tailor personalized financial solutions by analyzing transaction data ... Large data make our life more convenient and transparent, but from the "green shoots" into a "towering tree", the problem and a lot of problems.

On the development of large data itself, the biggest problem at present is the shortage of talents, which is an important constraint to realize the value of large data. According to a survey by the McKinsey Global Research Institute, by 2018, the gap in the US's Big data field was 140,000 to 190,000, and 1.5 million managers and analysts who could raise the right questions and use the Big data analysis effectively. Fundamentally speaking, the strategic significance of large data technology is not to master the huge data information, but to the specialized processing of these data, through "processing" to achieve the value of data, so the gap for the development of large data technology is particularly important. According to media reports, in order to meet the development trend of large data technology, MIT will launch its first online large data program in March this year to delve into an effective solution to the big data problem.

However, "the Internet is not as good as we would like it to be, like a 10-year-old child, reckless, willful ... Reckless. " As the cost of information storage continues to decrease, the increasing sophistication of analytical tools, coupled with the growing awareness of the economic value of data and its devotion to it, is accompanied by the privacy security problems that large data raises: A large number of user data, including people's behavior, emotions, and even geographic and identity information are collected, In most cases, the user is unaware. Large data to make the material world can be calculated, put people's lives imprinted on the internet, but also let users lose their sense of security, become a "transparent person."

Moreover, from a larger perspective, large data can also endanger the security of the country. For example, the "Prism Gate" event, exposed behind it, is a higher level of data security issues. A military expert commented that the crash was equivalent to the loss of 10 heavy armoured divisions in the United States. This shows the value of large data and "lethality." In short, many of the stories about big data sound beautiful, but they are risky. How to establish a mechanism to protect the security of data is a problem that needs to be further considered by all countries.