Use of Big Data Tools and Industrial Internet of Things: An Overview

Joint Authors

Zhu, Yue
Wang, Yingzi
Nazir Jan, Muhammad
Chu, Sisi

Source

Scientific Programming

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-10-21

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Mathematics

Abstract EN

Big data is ever playing an important role in the industry as well as many other organizations.

With the passage of time, the volume of data is increasing.

This increase will create huge bulk of data which needs proper tools and techniques to handle its management and organization.

Different techniques and tools are being used to properly handle the management of data.

A detailed report of these techniques and tools is needed which will help researchers to easily identify a tool for their data and take help to easily manage the data, organize the data, and extract meaningful information from it.

The proposed study is an endeavour toward summarizing and identifying the tools and techniques for big data used in Industrial Internet of Things.

This report will certainly help researchers and practitioners to easily use the tools and techniques for their need in an effective way.

American Psychological Association (APA)

Wang, Yingzi& Nazir Jan, Muhammad& Chu, Sisi& Zhu, Yue. 2020. Use of Big Data Tools and Industrial Internet of Things: An Overview. Scientific Programming،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1209144

Modern Language Association (MLA)

Wang, Yingzi…[et al.]. Use of Big Data Tools and Industrial Internet of Things: An Overview. Scientific Programming No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1209144

American Medical Association (AMA)

Wang, Yingzi& Nazir Jan, Muhammad& Chu, Sisi& Zhu, Yue. Use of Big Data Tools and Industrial Internet of Things: An Overview. Scientific Programming. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1209144

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1209144