基于Hadoop平台的灾害大数据处理及可视化
Disaster Big Data Processing and Visualization Based on Hadoop Platform
汤笛 1吴长梦涛 1张欣悦 1尹茂鹏 1张子涵 1陈新房1
作者信息
- 1. 防灾科技学院,河北 廊坊 065201
- 折叠
摘要
随着监测技术的进步,地震数据量不断增加,增长速度日渐加快.数据处理过程中原始数据可能存在缺失、异常值和格式问题,需要进行细致处理.HBase是一个适合存储和处理大规模数据的分布式数据库,通过使用MapReduce的Bulk-Load方法,可以更高效地将海量数据导入到HBase中.这样结合Hadoop平台分布式的优势,可以提高运算分析的速度,便于对数据进行研究.通过可视化展示,可以更好地利用数据进行研究分析,为灾害应对提供有力支持.
Abstract
With the advancement of monitoring technology,the amount of seismic data continues to increase and the growth rate is accelerating.During the data processing,there may be missing,abnormal values,and formatting issues in the original data,which re-quire careful handling.HBase is a distributed database suitable for storing and processing large-scale data.By using MapReduce's BulkLoad method,massive data can be more efficiently imported into HBase.This combination of the advantages of distributed Ha-doop platform can improve the speed of computational analysis and facilitate the study of data.Through visual display,data can be better utilized for research and analysis,providing strong support for disaster response.
关键词
灾害大数据处理/Hadoop平台/HBase数据库/可视化Key words
disaster big data processing/Hadoop platform/HBase database/visualization引用本文复制引用
基金项目
防灾科技学院大学生创新创业训练计划(2023)(X202311775173)
出版年
2024
NETL
NSTL
万方数据