基于NOSQL数据库的遥感影像数据库

Zhifeng Xiao, Yimin Liu
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引用次数: 23

摘要

近几十年来,关系数据库技术在全球图像的存储、管理和分析领域发挥了重要作用。然而,RDBMS并不是为复杂的空间数据网络建模的理想平台,而且它既昂贵又难以维护,尤其是当整个系统变得越来越大时。随着Web技术的一场革命,即Web 2.0, NOSQL存储成为数据存储和应用领域中一个非常热门的新范式。Hadoop提供了一个名为HBase的免费开放数据库,在管理全球海量GIS数据时,它密切模仿b谷歌的BigTable的大部分组件。本文介绍了NOSQL数据库在全局镜像系统中的应用,指出NOSQL数据库涉及大容量、网络分区和复制等问题,与传统的关系型数据库相比,具有广泛的适用性、可扩展性和高性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Remote sensing image database based on NOSQL database
Relational database technology plays an eventually role in the area of storage, management and analysis of global image in the past few decades. However, an RDBMS isn't an ideal platform for modeling complicated spatial data networks and it is expensive and hard to maintain especially when the whole system is getting larger. With a revolution of Web technology, named as Web 2.0, NOSQL storages become an extremely hot new paradigm in data present and application. Hadoop offers a free open database named as HBase that closely emulate most of the components of Google's BigTable in the management of global mass GIS data. This paper provides a view of the capabilities of NOSQL Database applied in global image systems and we have come out with that NOSQL Database involved huge volumes, network partitioning, and replication has a wide applicability, scalability and high performance than the traditional relational ones.
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