Big-Data-Based Architectures and Techniques: Big Data Reference Architecture

View Sample PDF

Author(s): Gopala Krishna Behara (Wipro Technologies, India)
Copyright: 2019
Pages: 32
Source title: Predictive Intelligence Using Big Data and the Internet of Things
Source Author(s)/Editor(s): P.K. Gupta (Jaypee University of Information Technology, India), Tuncer Ören (University of Ottawa, Canada)and Mayank Singh (University of KwaZulu-Natal, South Africa)
DOI: 10.4018/978-1-5225-6210-8.ch002

Keywords: Computer Science & IT / Data Mining and Databases / Information Science Reference / Internet Technologies

Purchase

View Big-Data-Based Architectures and Techniques: Big Data Reference Architecture on the publisher's website for pricing and purchasing information.

Abstract

This chapter covers the essentials of big data analytics ecosystems primarily from the business and technology context. It delivers insight into key concepts and terminology that define the essence of big data and the promise it holds to deliver sophisticated business insights. The various characteristics that distinguish big data datasets are articulated. It also describes the conceptual and logical reference architecture to manage a huge volume of data generated by various data sources of an enterprise. It also covers drivers, opportunities, and benefits of big data analytics implementation applicable to the real world.

The IRMA Community

Research IRM

Big-Data-Based Architectures and Techniques: Big Data Reference Architecture

Purchase

Abstract

Related Content

IRMA Sponsors