Driving Big Data with Hadoop Technologies

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Author(s): Siddesh G. M. (M. S. Ramaiah Institute of Technology, India), Srinidhi Hiriyannaiah (M. S. Ramaiah Institute of Technology, India)and K. G. Srinivasa (M. S. Ramaiah Institute of Technology, India)
Copyright: 2014
Pages: 31
Source title: Handbook of Research on Cloud Infrastructures for Big Data Analytics
Source Author(s)/Editor(s): Pethuru Raj (IBM India Pvt Ltd, India)and Ganesh Chandra Deka (Ministry of Labour and Employment, India)
DOI: 10.4018/978-1-4666-5864-6.ch010

Keywords: Cloud Computing / Computer Science & IT / Data Mining and Databases / Information Science Reference

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Abstract

The world of Internet has driven the computing world from a few gigabytes of information to terabytes, petabytes of information turning into a huge volume of information. These volumes of information come from a variety of sources that span over from structured to unstructured data formats. The information needs to update in a quick span of time and be available on demand with the cheaper infrastructures. The information or the data that spans over three Vs, namely Volume, Variety, and Velocity, is called Big Data. The challenge is to store and process this Big Data, running analytics on the stored Big Data, making critical decisions on the results of processing, and obtaining the best outcomes. In this chapter, the authors discuss the capabilities of Big Data, its uses, and processing of Big Data using Hadoop technologies and tools by Apache foundation.

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