Philosophy, Methodology and Paradigm Shift in Big Data

Baihaqi Siregar, Muhammad Zarlis

2018

Abstract

Through information technology, such as social media, sensors, video surveillance or the intelligent network. This ocean data produce a single Big Data terminology. Data plays an important role in strategic decision making. Therefore, the parts that can process and use the data available in large, fast and different volumes can certainly benefit greatly. The Big Data philosophy is a branch of philosophy with the basics, methods and implications of Big Data involving large data sets that have a large volume, velocity, variety, value, and veracity. The power of large data is in the analysis in which the results of the analysis are taken. Big data or small data do not enter and in itself has value. This is only useful if we can get information from the data. And this intuition can be used to combine our decisions. Along with Big Data, there is also a paradigm shift in terms of analytical focus, from descriptive analysis to predictive and prescriptive analysis.

Paper Citation

in Harvard Style

Siregar B. and Zarlis M. (2018). Philosophy, Methodology and Paradigm Shift in Big Data. In Proceedings of the 3rd International Conference of Computer, Environment, Agriculture, Social Science, Health Science, Engineering and Technology - Volume 1: ICEST, ISBN 978-989-758-496-1, pages 97-100. DOI: 10.5220/0010038900970100

in Bibtex Style

@conference{icest18,
author={Baihaqi Siregar and Muhammad Zarlis},
title={Philosophy, Methodology and Paradigm Shift in Big Data},
booktitle={Proceedings of the 3rd International Conference of Computer, Environment, Agriculture, Social Science, Health Science, Engineering and Technology - Volume 1: ICEST,},
year={2018},
pages={97-100},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010038900970100},
isbn={978-989-758-496-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference of Computer, Environment, Agriculture, Social Science, Health Science, Engineering and Technology - Volume 1: ICEST,
TI - Philosophy, Methodology and Paradigm Shift in Big Data
SN - 978-989-758-496-1
AU - Siregar B.
AU - Zarlis M.
PY - 2018
SP - 97
EP - 100
DO - 10.5220/0010038900970100