Nowadays, our lives have been completely connected with the Internet, and we have entered such an era of big data. It can be said that it is because of the existence of big data that our lives are much simpler and simpler. In the process of making choices, we can receive many pushes we like, and we no longer need to choose or filter one by one. Of course, it is precisely because of the existence of big data that it has brought some inconvenience to our lives, for example, about killing big data. Big data killing problem

In fact, the problem of big data killing exists in many softwares. For example, in some ordering softwares, big data killing will be carried out according to the mobile phone used by users and the number of ordering. If the value of the mobile phone used by users is relatively high and the number of ordering is relatively high, the corresponding meal fee will be relatively high, and even some users who have applied for membership will spend a lot more money than non-member users. Of course, in addition to ordering software, taxi software also has some big data killing. Similarly, the more times you use it, the higher the value of the mobile phone you use, and the cost of taking a taxi will increase accordingly. Shenzhen's big data killing policy

Now Shenzhen attaches great importance to big data killing, and has issued relevant policies. When users find big data killing, after investigation, it is proved that the company does have such a big data killing phenomenon, then they will issue a fine of 51 million yuan to the company. Such a fine is actually very large. However, we must know that fines are definitely not the ultimate goal of solving big data killing, but we hope that businesses can adjust according to the existing number of uses and whether they are members, and can solve big data killing from the root. Can it be solved

In fact, many people encounter the problem of killing big data in their lives, and such a related policy introduced by Shenzhen can actually solve the problem of killing big data to a certain extent, but in the process of solving it, it also takes a long time to investigate, such as whether there is killing big data or the criteria for killing big data. But in any case, to solve the problem of killing big data, we must always take a firm first step. If there are some loopholes in the follow-up, we can also improve and supplement them.

In fact, the problem of big data killing has greatly reduced our experience of using software. For example, after applying for membership, it costs more than non-members. For example, the higher the price of the mobile phone used, the higher the corresponding consumption. If the price and standard are unified, everyone can accept it, but this kind of big data killing completely treats users as leeks.