<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Big Data analytics has been the main focus in all the industries today. It is not overstating that if an enterprise is not using Big Data analytics, it will be a stray and incompetent in their businesses against their Big Data enabled competitors. Big Data analytics enables business to take proactive measure and create a competitive edge in their industry by highlighting the business insights from the past data and trends. The main aim of this review article is to quickly view the cutting-edge and state of art work being done in Big Data analytics area by different industries. Since there is an overwhelming interest from many of the academicians, researchers and practitioners, this review would quickly refresh and emphasize on how Big Data analytics can be adopted with available technologies, frameworks, methods and models to exploit the value of Big Data analytics.</p></abstract>

Big Data analytics has been the main focus in all the industries today. It is not overstating that if an enterprise is not using Big Data analytics, it will be a stray and incompetent in their businesses against their Big Data enabled competitors. Big Data analytics enables business to take proactive measure and create a competitive edge in their industry by highlighting the business insights from the past data and trends. The main aim of this review article is to quickly view the cutting-edge and state of art work being done in Big Data analytics area by different industries. Since there is an overwhelming interest from many of the academicians, researchers and practitioners, this review would quickly refresh and emphasize on how Big Data analytics can be adopted with available technologies, frameworks, methods and models to exploit the value of Big Data analytics.

Review on Big Data &amp; Analytics – Concepts, Philosophy, Process and Applications

School of Computing Science and Engineering

Cybernetics and Information Technologies

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Review on Big Data & Analytics – Concepts, Philosophy, Process and Applications

Big Data analytics has been the main focus in all the industries today. It is not overstating that if an enterprise is not using Big Data analytics, it will be...

Review on Big Data & Analytics – Concepts, Philosophy, Process and Applications

Online veröffentlicht: 26. Juni 2017

Seitenbereich: 3 - 27

DOI: https://doi.org/10.1515/cait-2017-0013

Schlüsselwörter
Data, Big Data, Hadoop, no sql, analytics

© 2017 Kari Venkatram et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Review on Big Data & Analytics – Concepts, Philosophy, Process and Applications

Online veröffentlicht: 26. Juni 2017

Seitenbereich: 3 - 27

DOI: https://doi.org/10.1515/cait-2017-0013

SchlüsselwörterData, Big Data, Hadoop, no sql, analytics

© 2017 Kari Venkatram et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
Data, Big Data, Hadoop, no sql, analytics