Volume-Based Data Representation of Big Data Analysis

Author:

Xu Qian1,Zhao Zheng Xu1,Wang Wei1

Affiliation:

1. Shijiazhuang Tiedao University

Abstract

Over the past decade, Big Data has been becoming a great research hotspot because of continuous implementation of advanced techniques, burgeoning interdisciplinary cooperation and varying user requirements. Because of its well-known four V-characters, the associated applications always suffer from low efficiency and hard to manage. Our research summarized the common issues of Big Data-based applications, and set improving data formatting and representation performances as the research objectives. In this paper, a novel data presentation strategy was built via devising volume-based representation to facilitate complicated processing work and overcome limitations of data manipulation tasks. For improving information processing efficiency, this design served as a data carrier which enables flexible implementations of data processing algorithms. Besides, its inherent spatial information not only supports direct operations, but shows the feasibility of information integration in the future work.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Reference18 articles.

1. J. Manyika, M. Chui, B. Brown, J. Bughin, R. Dobbs, C. Roxburgh, A.H. Byers: Big Data: the Next Frontier for Innovation, Competition and Productivity, published by McKinsey Global Institute, (2011).

2. L. Khansa, J. Forcade, G. Nambari, S. Parasuraman, P. Cox: Proposing An Intelligent Cloud-based Electronic Health Record System, International Journal of Business Data Communication and Networking, Vol. 8(2012), pp.57-71.

3. M.J. Salvo: Visual Rhetoric and Big Data: Design of Future Communication, Journal of Communication Design Quarterly Review, Vol. 1(2012), pp.37-40.

4. G. Halevl, H. Moed: Research Trends Issue 30: Special Issue on Big Data, In the Magazine of Research Trends, (2012).

5. S. Lohr: The Age of Big Data, published in New York Times, February 11, (2012).

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