Detailed explanation of DKhadoop big data processing platform

Big data can be said to have existed since the birth of search engines. The search engines we are familiar with, such as Baidu search engine and 360 search engine, can be said to be the earliest and relatively basic application of big data technology processing technology. Probably in 2015, big data was not very popular, and 2015 can be said to be a watershed for big data. With the rapid development of Internet technology, big data has also ushered in its peak period of development.
The core basis of the entire big data processing technology is hadoop, mapreduce, and nosql systems, and these three systems are based on the three major technical frameworks of large tables, distributed file systems and distributed computing proposed by Google to solve massive data. deal with the problem. Although it is said that big data processing technology first emerged abroad, the current application of big data processing technology is still better in our country. From the state's support for big data in the past two years, we can clearly feel that big data is deeply integrated with our life and work.

Big data can be developed rapidly in China, even at the national level. The most important point is the breakthrough and leap-forward development of our purely domestic big data processing technology. At a time when the Internet has profoundly changed the way we live and work, data has become the most important information. In particular, the data security problem is more prominent. The series of problems caused by the leakage of Facebook user data in the previous stage fully demonstrated the seriousness of the data security problem. The inevitable trend of big data development is that it will profoundly change our work and lifestyle, and both companies and individuals will inevitably become one of the "data". What kind of big data processing to choose, not only consider the simplicity and ease of use, but more importantly, ensure the security of the data!
The current domestic Hadoop big data processing platform can be said to be quite messy. There are foreign ones and some secondary development on the basis of foreign versions, but few of them do original ecological development. As for the original ecological development, it is known that it is a quick search. Therefore, I have always liked the sentence on the cover of the Dakuai Search product manual: Let every programmer develop the underlying technology of big data from now on ×××! Here I also directly took the cover image of the manual searched by Da Kuai to make the cover of the article.

The application development of big data has always been too low-level, and the problem is that it is difficult to learn, and the technical aspects involved are also very extensive. prominent problems faced. The big data integrated development framework launched by DakuaiSearch basically solves such problems very well. It encapsulates some passed and reused basic codes and algorithms in big data development into class libraries, which lowers the learning threshold of big data, reduces the difficulty of development, and greatly improves the development efficiency of big data projects. Dakuai's integrated development framework consists of six parts: data source and SQL engine, data acquisition (custom crawler) module, data processing module, machine learning algorithm, natural language processing module, and search engine module. Using the class black box framework mode, users can directly call the relevant classes of Dakuai to complete the complex coding work in the past.

Dakuai's big data general computing platform (DKHadoop) has integrated all components of the development framework with the same version number. Regarding the case of the DKhadoop big data processing platform, in fact, if you are interested, you can check it on the Dakuai website, there are many cases to share. What I know personally is that DKhadoop's government big data processing solution is very good! You can also check the program information in this regard on the Dakuai website.