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Research on Key Technologies of Distributed File System for Large Data Analysis Based on Supply Chain Management

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DOI: 10.25236/isaicn.2019.022


Zhu Jia

Corresponding Author

Zhu Jia


With the advent of the era of big data, data analysis and processing capabilities have become increasingly important technical means for data centers and Internet companies. With the expansion of information scale and the diversification of data structures, massive data storage has become a hot research topic in large data analysis. Supply chain will generate a lot of information in the process of operation. Through large data analysis, this information will be transformed into business intelligence. When collaborative management of supply chain system information is carried out, the system is improved by using the functions of data and information fast reflection, high-speed transmission and feedback regulation of the system itself under large data. The emergence of the distributed file system perfectly matches the requirements of massive data applications, making it the only choice for solving the huge data dilemma in the contemporary era. As an entry point for users to use and manage distributed file systems, the distributed file system provides users with an abstraction of the entire file system, shielding users from the complexities between the client, the metadata server, and the data server when using the distributed file system. Interactive communication and processing logic.


Supply Chain, Management, Big Data, Distributed Files, Technology