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Design and implementation of the water environmental quality monitoring system based on big data

机译:基于大数据的水环境质量监测系统的设计与实现

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To realize the comprehensive scientific decision-making of ecological environment, a hybrid storage structure based on a combination of big data technology and traditional database is designed. First, HBase has high expansibility and reliability to the data storage capacity in big environmental monitoring data. Second, relational database MySql provides powerful SQL query language and data analysis capabilities, which can provide a real time statistical analysis and multi dimension display on recent environmental quality monitoring data. Given method can effectively improve the data storage size and query speed, compared with the traditional method.
机译:为了实现生态环境的综合科学决策,设计了一种将大数据技术与传统数据库相结合的混合存储结构。首先,HBase对大型环境监控数据中的数据存储容量具有高度的可扩展性和可靠性。其次,关系数据库MySql提供了强大的SQL查询语言和数据分析功能,可以提供实时统计分析和对最近环境质量监测数据的多维显示。与传统方法相比,给定方法可以有效地提高数据存储大小和查询速度。

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