Big data characteristics (V's)‎ in industry

Joint Authors

Said, Nagham
Husam al-Din, Laden

Source

Iraqi Journal of Industrial Research

Issue

Vol. 8, Issue 1 (30 Apr. 2021), pp.1-9, 9 p.

Publisher

Ministry of Industry and Minerals Corporation of Research and Industrial Development

Publication Date

2021-04-30

Country of Publication

Iraq

No. of Pages

9

Main Subjects

Engineering & Technology Sciences (Multidisciplinary)

Topics

Abstract EN

In the new digital age, Data is the collection of the observation and facts in terms of events, thus data is continuously growing, getting denser and more varied by the minute across multiple channels.

Nowadays, consumers generate mass amounts of data on a daily basis.

Hence, Big Data (BD) emerged and is evolving rapidly, the various types of data being processed are huge, and ensuring that this data is being used efficiently is becoming increasingly more difficult.

BD has been differentiated into several characteristics (the V's) and many researchers have been developing more characteristics for new purposes over the past years.

Therefore, it is shown from observation that there is a clear gap between researchers about the current status of the BD characteristics.

Even after the introduction of newer characteristics, many papers are still proposing the use of 3 or 5 V's, while some researchers are far more progressed and has reached up to 10V's.

This paper will provide an overview of the main characteristics that have been added over time and investigate the recent growth of Big Data Analytics (BDA) characteristics in each industry sector which will provide some detailed and general scope for most researchers to consider and learn In the new digital age, Data is the collection of the observation and facts in terms of events, thus data is continuously growing, getting denser and more varied by the minute across multiple channels.

Nowadays, consumers generate mass amounts of data on a daily basis.

Hence, Big Data (BD) emerged and is evolving rapidly, the various types of data being processed are huge, and ensuring that this data is being used efficiently is becoming increasingly more difficult.

BD has been differentiated into several characteristics (the V's) and many researchers have been developing more characteristics for new purposes over the past years.

Therefore, it is shown from observation that there is a clear gap between researchers about the current status of the BD characteristics.

Even after the introduction of newer characteristics, many papers are still proposing the use of 3 or 5 V's, while some researchers are far more progressed and has reached up to 10V's.

This paper will provide an overview of the main characteristics that have been added over time and investigate the recent growth of Big Data Analytics (BDA) characteristics in each industry sector which will provide some detailed and general scope for most researchers to consider and learn from.

American Psychological Association (APA)

Said, Nagham& Husam al-Din, Laden. 2021. Big data characteristics (V's) in industry. Iraqi Journal of Industrial Research،Vol. 8, no. 1, pp.1-9.
https://search.emarefa.net/detail/BIM-1366670

Modern Language Association (MLA)

Said, Nagham& Husam al-Din, Laden. Big data characteristics (V's) in industry. Iraqi Journal of Industrial Research Vol. 8, no. 1 (2021), pp.1-9.
https://search.emarefa.net/detail/BIM-1366670

American Medical Association (AMA)

Said, Nagham& Husam al-Din, Laden. Big data characteristics (V's) in industry. Iraqi Journal of Industrial Research. 2021. Vol. 8, no. 1, pp.1-9.
https://search.emarefa.net/detail/BIM-1366670

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 7-9

Record ID

BIM-1366670