Technologies for Big Data

Technologies for Big Data

Author: 
Bakshi, Kapil
Place: 
Hershey
Publisher: 
IGI Global
Date published: 
2013
Editor: 
Hu, Wen-Chen
Journal Title: 
Big Data Management, Technologies, and Applications
Source: 
Big Data Management, Technologies, and Applications
Abstract: 

This chapter provides a review and analysis of several key Big Data technologies. Currently, there are many Big Data technologies in development and implementation; hence, a comprehensive review of all of these technologies is beyond the scope of this chapter. This chapter focuses on the most popularly accepted technologies. The key Big Data technologies to be discussed include: Map-Reduce, NOSQL technology, MPP (Massively Parallel Processing), and In Memory Databases technologies. For each of these Big Data technologies, the following subtopics are discussed: the history and genesis of the Big Data technologies, problem set that this technology solves for Big Data analytics, the details of the technologies, including components, technical architecture, and theory of operations. This is followed by technical operation and infrastructure (compute, storage, and network), design considerations, and performance benchmarks. Finally, this chapter provides an integrated approach to the above-mentioned Big Data technologies.

Series: 
Advances in Data Mining and Database Management

CITATION: Bakshi, Kapil. Technologies for Big Data edited by Hu, Wen-Chen . Hershey : IGI Global , 2013. Big Data Management, Technologies, and Applications - Available at: https://library.au.int/technologies-big-data