Technologies for Big Data-Reference-Cited by-同舟云学术

Technologies for Big Data

Published: Issue: Volume: Page:1-22
ISSN:2327-1981
Container-title:Big Data Management, Technologies, and Applications
language:
Short-container-title:

Author:

Bakshi Kapil¹

Affiliation:

1. Cisco Systems Inc., USA

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.

Publisher

IGI Global

Reference20 articles.

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