Big Data and Cloud Computing

Yun Li; Manzhu Yu; Mengchao Xu; Jingchao Yang; Dexuan Sha; Qian Liu; Chaowei Yang

doi:10.1007/978-981-32-9915-3_9

Big Data and Cloud Computing

Yun Li
, Manzhu Yu
, Mengchao Xu
, Jingchao Yang
, Dexuan Sha
, Qian Liu
, Chaowei Yang

Geography

Research output: Chapter in Book/Report/Conference proceeding › Chapter

23 Scopus citations

Abstract

Big data emerged as a new paradigm to provide unprecedented content and value for Digital Earth. Big Earth data are increasing tremendously with growing heterogeneity, posing grand challenges for the datamanagement lifecycle of storage, processing, analytics, visualization, sharing, and applications. During the same time frame, cloud computing emerged to provide crucial computing support to address these challenges. This chapter introduces Digital Earth data sources, analytical methods, and architecture for data analysis and describes how cloud computing supports big data processing in the context of Digital Earth.

Original language	English (US)
Title of host publication	Manual of Digital Earth
Publisher	Springer Nature
Pages	325-355
Number of pages	31
ISBN (Electronic)	9789813299153
ISBN (Print)	9789813299146
DOIs	https://doi.org/10.1007/978-981-32-9915-3_9
State	Published - Jan 1 2019

All Science Journal Classification (ASJC) codes

General Earth and Planetary Sciences
General Environmental Science
General Energy
General Computer Science

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10.1007/978-981-32-9915-3_9

Cite this

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AU - Xu, Mengchao

AU - Yang, Jingchao

AU - Sha, Dexuan

AU - Liu, Qian

AU - Yang, Chaowei

PY - 2019/1/1

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ER -

Big Data and Cloud Computing

Abstract

All Science Journal Classification (ASJC) codes

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