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Design and Implementation of Smart City Big Data Processing Platform Based on Distributed Architecture

机译:基于分布式架构的智慧城市大数据处理平台的设计与实现

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摘要

For the problem about the low shared efficiency and the poor integrating degree of the massive multivariate data, in the paper, we propose a design scheme based on distributed architecture, mainly using Kafka, Storm and Spark clusters, and the real-time transmission among the structured data, unstructured data and database data are implemented. And the real-time analysis system of real-time data and statistical analysis system of offline data are developed. Finally, the test results show the performance of Big Data processing platform, and demonstrate fully the advantage of the distributed architecture.
机译:针对海量多元数据共享效率低,集成度差的问题,提出了一种基于分布式架构的设计方案,主要采用Kafka,Storm和Spark集群,并在集群之间实时传输。实现了结构化数据,非结构化数据和数据库数据。开发了实时数据实时分析系统和离线数据统计分析系统。最后,测试结果显示了大数据处理平台的性能,并充分证明了分布式体系结构的优势。

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