Big Data for Satellite Image Processing

Author:

Remya S. 1,Somula Ramasubbareddy1,Nalluri Sravani1,Vaishali R. 1,Sasikala R. 1

Affiliation:

1. VIT University, India

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.

Publisher

IGI Global

Reference15 articles.

1. Considerations for big data: Architecture and approach

2. Big Data, Big Impact: New Possibilities for International Development. (n.d.). World Economic Forum.

3. Cloudera's 100% Open Source Distribution of Hadoop. (n.d.). Retrieved from http://www.cloudera.com/content/clou dera/en/products/cdh.html

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