Ubiquitous big data

Imagine this scene, if you have peanut allergy, this is not a serious thing but it is too much trouble, I have a friend's child has such a problem, so every time he took his child out to eat will ask every dish If you have peanut allergies, you are going to buy some food online or in a supermarket. Unfortunately, one of the foods contains peanuts, and at this time if you use Credit card payment will suddenly be reminded that the payment can not be carried out smoothly or be reminded directly at the payment desk because you need to confirm whether you are sure to buy a product that contains peanuts and may be harmful to your body . Perhaps you may also be buying this product for others, but only a possible accident was avoided. The premise of this incident is that your personal information, product information and financial payment information is effectively collected, linked and can be handled in a timely manner, which are used to big data. The second scene, of the last TV series, is of course very near to our life, "a sudden explosion occurred in a Wall Street protest.According to data analysis, the explosion site user communication records obtained from the operators, And a few seconds before and after the blast, the FBI quickly located the suspect. "Familiar with the fact that the recent Boston bombing, the police identified the suspects, also through the site a lot of communication and video information , These are also inseparable from the big data.

It is generally accepted that data is unlinked information, information is tagged data, and data that is correlated, tagged and analyzed forms the knowledge that can be used to help make decisions and judgments. With the popularization of various terminal devices, especially mobile terminals and even wearable devices in the Internet era, creating and sharing data has become an important part of our lives. Data has become ubiquitous and mobile online at any time. This is also the so-called "big data era" A prerequisite for coming. Another premise is that, as we create data wealth, just as we have created physical wealth, we must also be able to properly store the data: data that we did not have previously saved, and we have no way to create the data now if we Without saving it, we will lose it forever. "

The value of data lies in its timeliness, sample size, and richness of dimensions, which requires another condition, immediate, efficient, and inexpensive data retention. In addition, we must also be able to deal with the data stored instantly, efficiently and conveniently. All these "fast", "convenient" and "smart" technologies can not be separated from the cloud computing.

We need to record and save the data, the need for ubiquitous chips, our smart mobile devices or IoT sensors, etc., need strong and cheap enough, convenient cloud storage, data acquisition and preservation. Therefore, the development of the Internet, especially the mobile Internet and various terminals, and the emergence of cloud computing are the prerequisites for the emergence and widespread concern of big data in recent years.

The so-called cloud computing for the body, big data is used, which is the two sides of the coin, there is no intelligent IT terminal popularity, cloud computing, powerful storage and data processing capabilities, nor the arrival of big data era, or even if there is a large We have no way to save it or handle it. If the big data is mine, no matter how good we are, we can not even find out. If the big data is the ocean, we do not have enough fleet and voyage capability Conquer this unknown territory, can only hope foreign embarrassment.

Cloud computing has provided the vehicle and engine for us to conquer the data oceans and this is why the concept of big data is immediately followed by the concept of cloud computing. Big data also makes cloud computing truly a production tool, a tool for developing knowledge and mineral resources, and exploring human knowledge The tools of the new frontier are unknown and truly become the new industrial revolution.

On the basis of data conservation and centralized storage, there must also be a mechanism for contributing and disclosing data, otherwise the data is only the ore stored in the warehouse or the crude oil that has just been discovered has not yet been mined and processed Gas stations for people to use or into a variety of chemical products into millions of households, which requires the government to develop policies for data ownership and privacy and other data resources related legislation, and take the lead in possession of non-sensitive data to be open, On this basis, the pricing, sharing and trading rules of data can also be spontaneously formed by the market and continue to be improved in development.

In addition, as a big data, in fact, I think this "big" word is not only the number of representatives, not 4V can be fully summarized, regardless of the application in the enterprise level or the future evolution of some standardized products, as well as QS digital self similar applications, Big data is the result of the need to be inclusive of the majority of the population, which is the key to the value of big data. Under this principle, what is most needed now is that big data should be expanded from concepts to tools in the field of IT. It is imperative to explore and apply "cross-border" big data. If big data is a cyclone, if it can not be swept into the surrounding industries And the broader context, then the storm is far from being able to say that changing life.

In addition, there are long-winded two big data on the talent and skills, can not rely solely on some data engineers or data scientists, data decision-making, digital thinking has always been lacking in China, first of all, from the concept and thinking we should do a good job to meet the large The preparation of the data age, in addition to nurturing talent, all walks of life big data applications and thinking, we need from the perspective of new changes, industrial upgrading and knowledge upgrading, to nurture and support.