The right to privacy is threatened big data what are the drawbacks

2012, if one of the hottest it words of the year, then not large data. Data has been around for a long period of years, but large numbers have been appearing frequently in the media in the last 1 decades. Big data is of great value, and that seems to be the point everyone agrees on. But people always pay attention to the good side of things, but ignore the disadvantages of large data.

There is no doubt that large data can bring a lot of economic value and benefit to enterprises and institutions, and directly affect their future trend. In fact, large data is a double-edged sword, in the enterprise to bring the momentum of the advance, often will also bring harm to enterprises and individuals. Take a look at the following little story: A former lover who shows up as a possible acquaintance on your chat tool.

The situation above is a service provided by a large data analysis tool, which, while a special case, is embarrassing for both sides and even their families. But this is really true. Whether it's on our microblog or on the chat tool, there are similar problems that seem like a very handy feature, but for some people it's a hassle. Let's take a look at the drawbacks of the big data.

Personal privacy is threatened: for individuals, it is often the source of data and the object of analysis in the age of large data. Whether it is personal life, consumption habits, identity features, etc., have become stored in various forms of data. Although the enterprise can be based on user data to analyze the data to get value, but for individual users, is undoubtedly to be passively accepted things, and this data in the collection, analysis, transmission and other processes may have adverse impact on users.

Privacy threatened

Companies can get into trouble when transferring private data, it is difficult for enterprises to ensure that the entire transmission process whether anyone will look at private data, it is likely that the private data to monitor such operations, which greatly increased the likelihood of its leakage, once the data leak, it is likely to bring irreparable damage to the individual, And the individual does not know how their data leaked out, this gives individual users of the privacy of the enormous challenge.

Large data is not equal to large value: only when http://www.aliyun.com/zixun/aggregation/17326.html "> The amount of data stored to achieve a certain value will be valuable, the data alone even if there is a certain value but there is no overall reference value." This often gives the enterprise an illusion that large data is set at great value.

In fact, big data is not equal to great value. Large data analysis storage devices often have higher requirements for enterprise IT equipment, it equipment is difficult to meet the challenges of large data age. In this case, the enterprise IT department faces a situation where there is increasing demand, but the ability to meet these needs is becoming weaker. Moreover, the value of enterprise input is inversely proportional to the value of the information obtained. When the data reaches a certain value, the value of the input even exceeds the value of the data obtained.

Big data is a bigger challenge for businesses: In recent years, there have been incidents where services cannot be delivered due to server failures, and these failures may increase as the age of large data arrives. These failures tend to directly result in loss of data and interruption of services. For example, Google leaks personal privacy events, Sheng data loss events, Amazon server downtime, and so on.

When these services are interrupted, the user is no solution, can only wait for the service provider's repair, and data loss, damage, and so on, the user is unable to protect the data, can only wait for the provider. Such a lot of users in the event of failure and can not respond in time to minimize the loss. There is no doubt that big data poses more challenges.

Big data makes companies face vendor bindings: When we talk about big data, we always mention the advantages of big data, but it's very rare to mention how companies can turn big data into real value.

Easily bound by vendors

At present, many manufacturers have launched their own solutions for large data. And although these schemes are known to be highly compatible, can be compatible with other vendors ' equipment, but when you really use a provider's equipment (software, hardware), you will find it really hard to change a provider, especially in terms of software, easily bound by a provider. This greatly limits the flexibility of enterprise IT infrastructure settings.

Summary: Although the big Data age all sketched is so beautiful, but there is an insurmountable gap between the real way to provide value for the enterprise. Big data is not as perfect as gold, and companies should consider how to deal with the challenge of big data instead of just talking about value.

(Responsible editor: The good of the Legacy)