Research on Enterprise Financial Management System Based on Big Data Hadoop

Ying Liu, Tingting Fan, Sixuan He

2022

Abstract

With the development of economy, enterprises pay more and more attention to the construction of financial management system. However, as far as the current development of financial management system is concerned, there are still some problems, such as unclear financial system planning, imperfect financial data processing flow and low processing efficiency. Therefore, this paper constructs an enterprise financial management system based on big data Hadoop. This system takes Linus system as the bottom operating system, Java as the overall development environment of the system, and JDK version above 1.8 to keep the system running normally. Hadoop architecture is installed and deployed in JVM virtual machine environment, and components such as Flume, Sqoop, Hive, HDFS, MapReduce, SQL Server and Echarts are installed and deployed in turn according to the processes of data capture, data cleaning, data analysis and processing, data storage and data visualization, so as to realize the management and call of system data. The construction of the system can effectively improve the data storage performance and overall security performance of the financial management system, enrich the overall functions of the system, and make the working system of the financial management system more perfect.

Paper Citation

in Harvard Style

Liu Y., Fan T. and He S. (2022). Research on Enterprise Financial Management System Based on Big Data Hadoop. In Proceedings of the 4th International Conference on Economic Management and Model Engineering - Volume 1: ICEMME; ISBN 978-989-758-636-1, SciTePress, pages 316-321. DOI: 10.5220/0012030100003620

in Bibtex Style

@conference{icemme22,
author={Ying Liu and Tingting Fan and Sixuan He},
title={Research on Enterprise Financial Management System Based on Big Data Hadoop},
booktitle={Proceedings of the 4th International Conference on Economic Management and Model Engineering - Volume 1: ICEMME},
year={2022},
pages={316-321},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012030100003620},
isbn={978-989-758-636-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Conference on Economic Management and Model Engineering - Volume 1: ICEMME
TI - Research on Enterprise Financial Management System Based on Big Data Hadoop
SN - 978-989-758-636-1
AU - Liu Y.
AU - Fan T.
AU - He S.
PY - 2022
SP - 316
EP - 321
DO - 10.5220/0012030100003620
PB - SciTePress