Design and realization method for mass data processing system
A mass data processing and massive data technology, applied in the direction of electrical digital data processing, special data processing applications, structured data retrieval, etc., can solve the problems such as difficult to guarantee scalability, meet the needs of convenient transmission, improve processing efficiency, and ensure reliability sexual effect
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[0020] Hereinafter, referring to the accompanying drawings, a specific example is used to describe the design and implementation process of a massive data processing system for the content of the present invention.
[0021] As described in the summary of the invention, the design and implementation of a mass data processing system in the present invention includes three modules, namely a mass data collection module, a mass data storage module and a mass data processing module. The frame diagram of a massive data processing system is attached figure 1 Shown.
[0022] First install the operating system Centos6.3 on the three-node server, and then component the three-node cluster environment. Follow the installation steps to build the Hadoop platform and start HDFS, MapReduce, HBase, and Flume components. Prepare the environment for the processing of massive data.
[0023] The schematic diagram of the massive data collection module is attached figure 2 As shown, using...
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