A SURVEY ON BIG DATA: INFRASTRUCTURE, ANALYTICS, VISUALIZATION AND APPLICATIONS

Authors

  • Selliah Saraswathi Department of Computer Science and Engineering, National Institute of Technology Tiruchirappalli, Trichy, Tamil Nadu, India
  • Ganesan Deepa Department of Computer Science and Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576104, Karnataka, India.
  • Ganesan Vennila Department of Electronics and Communication Engineering, Thiagarajar College of Engineering, Madurai, Tamil Nadu, India.
  • Sudhaman Parthasarathy Department of Applied Mathematics & Computational Science, Thiagarajar College of Engineering, Madurai 625015, TamilNadu, India.
  • Balakrishnan Ramadoss Department of Computer Applications, National Institute of Technology Tiruchirappalli, Trichy, Tamil Nadu, India.

DOI:

https://doi.org/10.23055/ijietap.2022.29.5.7643

Keywords:

Big Data Acquisition, Big Data Infrastructure, Big Data Storage and Processing, Big Data Tools, Big Data Visualization

Abstract

Big data is a collection of heterogeneous and autonomous data sources which are available abundantly in multiple formats. Knowledge discovery and decision-making from the ever-growing abundant data are challenging tasks for data-oriented business organizations. Big data analytics investigates a large amount of data to find correlations among the available data and finally provides useful information to business organizations. Big data analytics facilitates application domains such as business, banking, healthcare, transportation, social media, agriculture, and government sectors. Existing surveys on big data are based on either of the following dimensions: characteristics, analytics, and visualization, or discuss the applications of big data analytics in the field of agriculture, transportation, etc., separately. However, this article provides a survey of big data, which integrates different dimensions of big data, such as infrastructure, analytics, visualization, and their applications. It also discusses the technologies and tools involved in the domains mentioned above.

Author Biographies

Selliah Saraswathi, Department of Computer Science and Engineering, National Institute of Technology Tiruchirappalli, Trichy, Tamil Nadu, India

Department of Computer Science and Engineering, National Institute of Technology Tiruchirappalli, Trichy, Tamil Nadu, India

Ganesan Deepa, Department of Computer Science and Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576104, Karnataka, India.

Assistant Professor, Department of Computer Science and Engineering

Alternate email: deepa.ganesan@manipal.edu

Ganesan Vennila, Department of Electronics and Communication Engineering, Thiagarajar College of Engineering, Madurai, Tamil Nadu, India.

Department of Electronics and Communication Engineering,

Sudhaman Parthasarathy, Department of Applied Mathematics & Computational Science, Thiagarajar College of Engineering, Madurai 625015, TamilNadu, India.

Professor of Data Science & Head

Department of Applied Mathematics & Computational Science

Balakrishnan Ramadoss, Department of Computer Applications, National Institute of Technology Tiruchirappalli, Trichy, Tamil Nadu, India.

Professor (HAG)-Retd., Department of Computer Applications

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Published

2022-10-17

How to Cite

Saraswathi, S., Deepa, G., Vennila, G., Parthasarathy, S., & Ramadoss, B. (2022). A SURVEY ON BIG DATA: INFRASTRUCTURE, ANALYTICS, VISUALIZATION AND APPLICATIONS. International Journal of Industrial Engineering: Theory, Applications and Practice, 29(5). https://doi.org/10.23055/ijietap.2022.29.5.7643

Issue

Vol. 29 No. 5 (2022)

Section

Data Sciences and Computational Intelligence

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