Big Data for Satellite Image Processing: Analytics, Tools, Modeling, and Challenges

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Author(s): Remya S. (VIT University, India), Ramasubbareddy Somula (VIT University, India), Sravani Nalluri (VIT University, India), Vaishali R. (VIT University, India)and Sasikala R. (VIT University, India)
Copyright: 2022
Pages: 15
Source title: Research Anthology on Big Data Analytics, Architectures, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-6684-3662-2.ch053

Keywords: Data Analysis & Statistics / Data Analysis and Statistics / Information Science Reference / Library & Information Science

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Abstract

This chapter presents an introduction to the basics in big data including architecture, modeling, and the tools used. Big data is a term that is used for serving the high volume of data that can be used as an alternative to RDBMS and the other analytical technologies such as OLAP. For every application there exist databases that contain the essential information. But the sizes of the databases vary in different applications and we need to store, extract, and modify these databases. In order to make it useful, we have to deal with it efficiently. This is the place that big data plays an important role. Big data exceeds the processing and the overall capacity of other traditional databases. In this chapter, the basic architecture, tools, modeling, and challenges are presented in each section.

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Big Data for Satellite Image Processing: Analytics, Tools, Modeling, and Challenges

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