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Research on Big Data Parallel Processing Platform Based on Postal Industry

With the development of cloud computing, big data, and the Internet of Things, for the data collection and daily drama of the postal express industry, in the face of such a large-scale data set, the traditional storage and calculation related theories and methods can no longer meet the massive and multi-source access and processing of heterogeneous data. The article analyzes the characteristics of postal data, focuses on the Hadoop and Spark platform architectures, and compares the performance differences between the two platforms through experiments. At the same time, according to the characteristics of Hadoop and Spark big data platforms, they learn from each other's strengths and apply them to different stages of the postal big data system.