Multidimensional Data Analysis of Ambient Air Quality Based on Apache Kylin
نویسندگان
چکیده
Abstract While the environmental monitoring department increases number of points and frequency monitoring, it will also bring about a surge in amount data computational response events. However, traditional statistics methods based on relational databases are ineffective face huge data. Aiming at ambient air quality analysis, this paper uses Hadoop, Hive, Kylin, other tools to build multi-dimensional analysis platform for big distributed environment, which realizes unified storage, calculation, Compared with database statistical scheme, proposed solution significantly improves efficiency under condition large The time is shortened by 98%, reaching sub-second level.
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ژورنال
عنوان ژورنال: Journal of physics
سال: 2023
ISSN: ['0022-3700', '1747-3721', '0368-3508', '1747-3713']
DOI: https://doi.org/10.1088/1742-6596/2555/1/012001