【摘要】：隨著中國(guó)海洋觀測(cè)技術(shù)和數(shù)據(jù)收集手段的發(fā)展,海洋觀測(cè)數(shù)據(jù)量日益龐大、數(shù)據(jù)復(fù)雜程度逐漸增多,傳統(tǒng)的數(shù)據(jù)存儲(chǔ)方式和處理方法無(wú)法有效地對(duì)海洋數(shù)據(jù)進(jìn)行管理和分析,同時(shí),數(shù)據(jù)的區(qū)域化和分布化成為海洋數(shù)據(jù)統(tǒng)一管理的一個(gè)障礙,對(duì)海洋數(shù)據(jù)挖掘造成一定困難。本文從大數(shù)據(jù)生命周期的維度,介紹了主流開(kāi)源大數(shù)據(jù)框架在海洋大數(shù)據(jù)獲取、存儲(chǔ)、處理、智能分析、安全保護(hù)和治理方面的技術(shù)原理和應(yīng)用。
[Abstract]:With the development of ocean observation technology and data collection means in China, ocean observation data volume is increasing and the data complexity is increasing gradually. Traditional data storage methods and processing methods can not effectively manage and analyze ocean data. At the same time, the regionalization and distribution of data is an obstacle to the unified management of ocean data, which makes it difficult to mine marine data. From the dimension of big data's life cycle, this paper introduces the technical principles and applications of mainstream open source big data framework in the aspects of acquisition, storage, processing, intelligent analysis, security protection and governance.
【作者單位】： 北京理工大學(xué)軟件學(xué)院;海軍航空工程學(xué)院電子信息工程系;
【基金】：國(guó)家自然科學(xué)基金項(xiàng)目(61772072,61501487,U1633122) 國(guó)防科技項(xiàng)目基金(2102024) 中國(guó)科協(xié)“青年人才托舉工程”專項(xiàng)
【分類號(hào)】：P71;TP311.13
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本文編號(hào)：2358142