Today big data is a very hot topic, often we have a lot of convenience through big data. Big data plays a very important role in our lives, but we also need to be vigilant about the disadvantages of big data. Next, let's take a look at what are the drawbacks of big data. 1, personal data privacy and security

With the development of science and technology, a lot of data in our lives will be recorded. Big data records our browsing habits, purchasing habits and even spending power as well as shopping habits and so on. So we often find that the things we have searched for recently appear in Taobao recommendations the next second. This makes us feel like we're being watched, and we're worried about the privacy and security of our personal data. 2, big data kills

Big data kills refers to the platform through data analysis to different users to show different prices of the same goods, often the old user to see the price is more expensive than the new user, and sometimes Android phones and Apple phones search out the price is not the same. Taobao has been on the hot search before because of big data killing, and DDT has also been found to be a big data killing problem. Big data kill familiarization can maximize the benefits from consumers, but this will also trigger consumer dissatisfaction. There are two sides to everything, and we can't deny the convenience that big data brings to our lives because of its drawbacks. It is also hoped that the data can be properly stored and not leak user privacy at will. Businesses should not use big data to maximize money, or they will lose the support of users.

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