CAJ | 학술논문

针对天气现象这种非结构化、模式不固定的数据资料,提出了利用文档型数据库系统来存储、查询天气现象数据资料的方案,以期达到深度挖掘利用该资料的目的。本文先分析天气现象数据利用现状、介绍文档型数据库MongoDB的特点,然后通过具体实例来介绍如何存储、检索天气现象数据,并提供了几种数据使用情况的检索方案。
침대천기현상저충비결구화、모식불고정적수거자료,제출료이용문당형수거고계통래존저、사순천기현상수거자료적방안,이기체도심도알굴이용해자료적목적。본문선분석천기현상수거이용현상、개소문당형수거고MongoDB적특점,연후통과구체실례래개소여하존저、검색천기현상수거,병제공료궤충수거사용정황적검색방안。
This paper suggests using document database MongoDB to store and inquire the meteorological data, which is unstructured and unfixed, so that the date can be fially used. After an analysis on the status of meteorological data use and an introduction to the characteristics of document database MongoDB, this paper shows the way to store and retrieve the meteorological data by some examples, and then provides several retrieval methods about the situation of date use.