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This article is to share with you the content of the sample analysis of the hadoop big data processing platform. The editor thinks it is very practical, so share it with you as a reference and follow the editor to have a look.

Big data can get rapid development in China, even the support at the national level, the most important point is the breakthrough and great-leap-forward 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 material. In particular, the problem of data security is more prominent. A series of problems caused by Facebook user data leakage in the previous stage fully illustrate the seriousness of the data security problem. The inevitable trend of big data's development is that it will profoundly change our work and life style, and 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 important is to ensure the security of the data!

At present, the domestic hadoop big data processing platform can be said to be relatively messy, some foreign, some secondary development on the basis of foreign versions, but few do the original ecological development. As for those who do the original ecological development, it is now known to be a fast search. Therefore, individuals have always liked to search for a sentence on the cover of the product manual: so that every programmer can develop big data's underlying technology from now on! Here, I also directly brought the cover of the big fast search manual to make the cover of the article.

Hadoop big data processing platform and case

Big data can be said to be from the birth of the search engine, we are familiar with the search engine, such as Baidu search engine, 360360 search engine can be said to be the earliest and relatively basic application of big data's technology processing technology. Probably in 2015 big data is not very popular, 2015 can be said to be a watershed for big data. With the rapid development of Internet technology, big data also ushered in the peak of its development.

The core foundation of big data's processing technology is hadoop, mapreduce and nosql systems, which are based on the three technical frameworks of large table, distributed file system and distributed computing put forward by Google, so as to solve the problem of massive data processing. Although big data processing technology first sprung up abroad, the current application of big data processing technology is better in our country. From the state's support to big data in the past two years, we can clearly feel that big data is deeply combining with our life and work.

Big data can get rapid development in China, even the support at the national level, the most important point is the breakthrough and great-leap-forward 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 material. In particular, the problem of data security is more prominent. A series of problems caused by Facebook user data leakage in the previous stage fully illustrate the seriousness of the data security problem. The inevitable trend of big data's development is that it will profoundly change our work and life style, and 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 important is to ensure the security of the data!

At present, the domestic hadoop big data processing platform can be said to be relatively messy, some foreign, some secondary development on the basis of foreign versions, but few do the original ecological development. As for those who do the original ecological development, it is now known to be a fast search. Therefore, individuals have always liked to search for a sentence on the cover of the product manual: so that every programmer can develop big data's underlying technology from now on! Here, I also directly brought the cover of the big fast search manual to make the cover of the article.

Big data's application development has always been too inclined to the bottom, and the problem is that it is difficult to learn, and the technical aspects involved are also very extensive, which to a large extent restricts the popularity of big data. This is also a prominent problem faced by most of big data's processing platforms. The big data integrated development framework launched by Express search basically solves this problem very well. It encapsulates some passed and reused basic code and algorithms in the development of big data into a class library, which reduces the learning threshold of big data, reduces the difficulty of development, and improves the development efficiency of big data project. The integrated development framework consists of six parts: data source and SQL engine, data acquisition (custom crawler) module, data processing module, machine learning algorithm module, natural language processing module and search engine module. Using the black box-like framework mode, users can directly call the relevant classes of Dahuai to complete the complex coding work in the past.

Thank you for reading! This is the end of the article on "sample Analysis of hadoop big data processing platform". I hope the above content can be of some help to you, so that you can learn more knowledge. if you think the article is good, you can share it for more people to see!

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