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2025-03-31 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Internet Technology >
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Big data can be said to be from the birth of search engines, we are familiar with search engines, such as Baidu search engine, 360 search engine, etc. can be said to be the earliest big data technology processing technology is also a relatively basic application. Probably in 2015 big data is not very hot, 2015 can be said to be a watershed in big data. With the rapid development of Internet technology, big data also ushered in its peak development.
The core foundation of the whole big data processing technology is hadoop, mapreduce and nosql systems, which are built on the three technical frameworks of large tables, distributed file systems and distributed computing proposed by Google to solve the problem of mass data processing. Although it is said that big data processing technology first rose abroad, the application of big data processing technology at present is better than that done in China. From the support of the state for big data in the past two years, we can obviously feel that big data is deeply integrated with our life and work.
Big data can be rapidly developed in China, even at the national level. The most important point is the breakthrough and leapfrog development of our pure 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 problem of data security is more prominent. A series of problems caused by the leakage of Facebook user data in the previous stage fully illustrate the seriousness of the data security problem. The inevitable trend of the development of big data is that it will profoundly change our work and lifestyle. Both enterprises and individuals will inevitably become one of the "data". Choose what kind of big data processing, not only consider is simple, easy to use, more importantly, can ensure the security of the data!
The current domestic hadoop big data processing platform can be said to be relatively messy, there are foreign, there are secondary developments on the basis of foreign versions, but few do original ecological development. As for the original ecological development, it is currently known that it is a big fast search. Therefore, individuals have always liked a sentence on the cover of the big fast search product manual: Let every programmer develop the underlying technology of big data from ×××! Here I also directly took the cover of the manual of the big fast search and made the cover of the article.
The application and development of big data has always been too biased towards the bottom. The problem faced is that it is difficult to learn, and the technical aspects involved are also very extensive, which restricts the popularization of big data to a great extent. This is also a prominent problem faced by most big data processing platforms. The big data integration development framework launched by Big Fast Search is basically a good solution to such problems. It encapsulates some basic codes and algorithms that pass and are reused in big data development into class libraries, which reduces the learning threshold of big data, reduces the difficulty of development, and improves the development efficiency of big data projects. DaKuai's integrated development framework consists of six parts: data source and SQL engine, data collection (custom crawler) module, data processing module, machine learning algorithm, natural language processing module and search engine module. Using a black-box-like framework, users can directly call large and fast related classes to complete complex coding work in the past.
DKHadoop, a fast general purpose computing platform for big data, has integrated all components of the development framework with the same version number. Regarding the case of DKhadoop big data processing platform, in fact, interested parties can go to the website of Dakuai to inquire, there are many cases to share. What I personally know is that DKhadoop's government big data processing solution is very good! You can also check the information on this aspect on the website of the Express.
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