Research and Application of Prosperity Index of Tomato Industry Chain Based on Power Big Data Analysis

Jun Ma, Yaping Zhao, Jing Pan

2022

Abstract

In order to solve the serious performance and scalability bottlenecks faced by power data analysis system in the era of big data, and better meet the needs of production, marketing and other systems, the advantages of cloud computing technology are analyzed, and the architecture and key technologies of power big data analysis system based on cloud computing are proposed. Based on Hadoop and hive, a multi-dimensional index and SQL are designed for the characteristics of power big data Automatic translation tools and hybrid storage model supporting data update are three performance improvement technologies to realize the upgrading and optimization of traditional power data analysis system. The actual deployment experience of Zhejiang electric power information acquisition system shows that compared with the traditional electric power data analysis system, the system achieves an average performance advantage of 5 times at 1/8 of the hardware cost. It proves that cloud computing technology can significantly improve the performance of power big data query and analysis and effectively reduce costs.

Paper Citation

in Harvard Style

Ma J., Zhao Y. and Pan J. (2022). Research and Application of Prosperity Index of Tomato Industry Chain Based on Power Big Data Analysis. In Proceedings of the 1st International Conference on Public Management, Digital Economy and Internet Technology - Volume 1: ICPDI; ISBN 978-989-758-620-0, SciTePress, pages 555-559. DOI: 10.5220/0011751900003607

in Bibtex Style

@conference{icpdi22,
author={Jun Ma and Yaping Zhao and Jing Pan},
title={Research and Application of Prosperity Index of Tomato Industry Chain Based on Power Big Data Analysis},
booktitle={Proceedings of the 1st International Conference on Public Management, Digital Economy and Internet Technology - Volume 1: ICPDI},
year={2022},
pages={555-559},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011751900003607},
isbn={978-989-758-620-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Public Management, Digital Economy and Internet Technology - Volume 1: ICPDI
TI - Research and Application of Prosperity Index of Tomato Industry Chain Based on Power Big Data Analysis
SN - 978-989-758-620-0
AU - Ma J.
AU - Zhao Y.
AU - Pan J.
PY - 2022
SP - 555
EP - 559
DO - 10.5220/0011751900003607
PB - SciTePress