Big data and cloud computing: the similarity is not the content but the way of transmission

Big data emphasizes the mining of unstructured data, and cloud computing emphasizes the efficient use of resources, one for business applications, one for IT management, can not be described as irrelevant, but not much intersection with each other.

The striking resemblance between the two lies not in the content, but in the process of market communication and introduction. First, both are exotic goods, and second, at the outset, they do not understand what they are.

Recall that 2 to 3 years ago, did not make it clear what cloud computing is? But many people will tell you that cloud computing is not what, not virtualization, not green energy. The same is true of big data, few people say 4 V is what? Some v even an accurate Chinese translation are not.

Now there are many tell you that big data is not big data, big data is not Hadoop, is that no one is willing to say big data? In short, what you say is what you can say generalized big data, narrow big data, big data machine, you can also say that the industry big data.

In the early days of cloud computing promotion, from software to hardware, from chip to complete machine, from data center planning and design to operation and maintenance, everyone said that they are cloud computing and data centers are also called cloud computing data centers. Today, similar things are likely to repeat the big data, servers, storage, databases have a big piece of cake in the big data.

Why big data has such a magic? Because the same as the original cloud computing, there is a big data tag: IT technology trends and directions. With this label, people volunteered themselves, each taking the lead. Even if it is for performance, but also make a difference.

The so-called "talkative misconduct," or to say something real. To this end, I also seek advice from Beijing Polytechnic University big data search and mining laboratory director Dr. Zhang Huaping.

"Four Vs are not big data definitions, but big data features. The essence of big data is access to knowledge." Zhang Huaping said.

When it comes to getting big data, Dr. Cheung said it is not a problem. Big data can come from the industry accumulated data, but also some professional forums and channels. He stressed that enterprises should pay attention to the accumulation of data, you need to learn to digitize management practices, such as mail is an important business data.

"Data lurks knowledge and needs to be gained through big data analytics," he said.

He said that big data applications are an ecological environment, providing technology, providing analysis, but also providing analysis and interpretation. Dr. Zhang's big data search and mining laboratory is a technology provider, and their ICTCLAS (Institute of Computing Technology, Chinese Lexical Analysis System) is now widely used and promises to be freely available for non-commercial use forever .

Outside the technical products, Zhang Huaping is also considering the promotion of the use of the model, a different from the commercial Internet model, a paid-use model. The future can consider the data submitted to use the model. We collected a lot of data, only Weibo goal is 10 billion data, covering almost everyone.