Disaster Big Data Processing and Visualization Based on Hadoop Platform
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.
disaster big data processingHadoop platformHBase databasevisualization
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