Processing and analysis of seismic data in Hadoop platform

Abstract

Through the implementation of “Fifteen” major projects, “China Digital Earthquake Observation Network”, by China Seismological Bureau, our country has built a seismic monitoring network, which makes all domestic and international seismic data that can be monitored to are published on a weekly for the user download. Given the huge amount of information on these data, Hadoop platform has been able to manage and storage efficiently, and to analyze more valuable information. It has adopted distributed storage to improve the literacy rate and expand the storage capacity, and it has used MapReduce to integrate the data in the HDFS to ensure that they are analyzed and processed quickly. Meanwhile, it also has used redundant data storage to ensure data security, thus making it a tool for handling large data.