Reference Hub2
Big-Data-Based Architectures and Techniques: Big Data Reference Architecture

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

Gopala Krishna Behara
ISBN13: 9781522562108|ISBN10: 1522562109|EISBN13: 9781522562115
DOI: 10.4018/978-1-5225-6210-8.ch002
Cite Chapter Cite Chapter

MLA

Behara, Gopala Krishna. "Big-Data-Based Architectures and Techniques: Big Data Reference Architecture." Predictive Intelligence Using Big Data and the Internet of Things, edited by P.K. Gupta, et al., IGI Global, 2019, pp. 19-50. https://doi.org/10.4018/978-1-5225-6210-8.ch002

APA

Behara, G. K. (2019). Big-Data-Based Architectures and Techniques: Big Data Reference Architecture. In P. Gupta, T. Ören, & M. Singh (Eds.), Predictive Intelligence Using Big Data and the Internet of Things (pp. 19-50). IGI Global. https://doi.org/10.4018/978-1-5225-6210-8.ch002

Chicago

Behara, Gopala Krishna. "Big-Data-Based Architectures and Techniques: Big Data Reference Architecture." In Predictive Intelligence Using Big Data and the Internet of Things, edited by P.K. Gupta, Tuncer Ören, and Mayank Singh, 19-50. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-6210-8.ch002

Export Reference

Mendeley
Favorite

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.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.