JOURNAL ARTICLE

Design and Implementation of Electronic Archives Information Management Under Cloud Computing Platform

Abstract

This paper designs a Hadoop cloud platform for electronic archives information management, and designs its functional modules. The pre-processing and eigenvalue extraction of electronic archives data can be realized through Mapreduce programming model, and the data can be stored in an infinitely expanded base for call at any time. During the process of experiment, the experimental environment is established and configured to analyze the relevant data and perform data pre-processing experiments. The processed data is stored in HBase instance, which basically achieves the expected functions. At the same time, the experiment shows that the archive-Cloud platform based on Hadoop can meet the basic requirements of electronic archives data preprocessing and data storage.

Keywords:
Cloud computing Computer science Preprocessor Data pre-processing Database Data processing Process (computing) Big data Computer data storage Data extraction Distributed computing Operating system Data mining Programming language

Metrics

5
Cited By
1.05
FWCI (Field Weighted Citation Impact)
7
Refs
0.79
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Data Quality and Management
Social Sciences →  Decision Sciences →  Management Science and Operations Research
Big Data and Business Intelligence
Social Sciences →  Business, Management and Accounting →  Management Information Systems
Big Data Technologies and Applications
Social Sciences →  Decision Sciences →  Information Systems and Management

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