Difference between large data and traditional data patterns and its security

Large data has become a widely used tool in the IT industry, involving a wide range of sectors, including educational institutions, businesses, and even government agencies, which will be doing their own http://www.aliyun.com/zixun/aggregation/14294.html "> Large data platform.

Industry model is different, the direction that decides its big data is also dissimilar, some enterprise is want to do the data conformity, this kind of situation most is to have the user Foundation, and has the user's database platform, but this database platform and the big data platform is not same, in the Big Data platform, The user is more to integrate all his related data into a database platform. There are also a number of large data platforms to be established is the need for data analysis, this data analysis is mainly used to assist the business, such large data is not the business itself. The third situation is the user's own data consumption, that is, the data produced by themselves as information consumption of the service content supply to customers, this is the current relatively common large data application range.

Difference between large data and traditional data patterns and its security

With regard to the use of large data, in fact, many times we are emphasizing a different way of analyzing the data, in the past, the record of a thing, usually in a tabular way to record, to a behavioral habit of statistics, the table will be sorted, superimposed or stored and so on things, But there is a concept in large data that is relevance. This correlation 8630.html "> can sometimes reflect the value of large data. In people, for example, when we look at something, such as seeing an object, this time, if it can be quantified, it usually records the size, shape, and weight of the item. However, in the field of large data concepts, the relevance of thinking will allow us to see this cup, we will not think of the weight of the cup, but the connection to the cup it is suitable for tea or coffee, this is the relevance of a more intuitive embodiment.

In fact, this kind of correlation is not by logic superposition, but need data analysis.

A lot of people use big data things that might be more suitable for something, and this is a discussion about food trends. The results, which are analyzed with large data, are more resilient. In fact, just as the way people think diverge, in essence, People's thinking mode for data processing and computer processing of data is certainly not the same, people's thinking mode more embodies the relevance of the computer will not, and large data can let the computer has this kind of correlation thinking mode.

As for the safety problem, the main need to pay attention to two aspects, one is technically, the construction of their own technology platform to consider its security, so must build a very stable structure and controllable architecture. In addition to some front-end users, when you choose to put some of your information to the application, you have to judge the recipient of this information, he is not a trustworthy enterprise or a data platform, he got your data will not be diverted for his use.

In fact, large data mainly reflects or its tools, usually large data is in the cloud computing platform, can promote cloud computing services more effective, or directly to the people who need services. This requires large data to have a high degree of accuracy and analysis of the rationality of things, only such data is useful.