AN INSIGHT INTO THE USAGE OF BIG DATA ANALYTICS
Main Article Content
Abstract
Big data analytics is pronounced in a profound manner among all. Elaborate discussions are explored explicitly made regarding data generation, collection, usage, archives, types and characteristics deployed in all along the big data spectrum. Various trends are analysed in different fields of applications in big data. As the entire world is marching towards the big data, special attention is paid by every data scientists to extract the benefits out of it. The objective of this paper is to focus the future utility of big data vividly.
Downloads
Download data is not yet available.
Article Details
Section
Articles
COPYRIGHT
Submission of a manuscript implies: that the work described has not been published before, that it is not under consideration for publication elsewhere; that if and when the manuscript is accepted for publication, the authors agree to automatic transfer of the copyright to the publisher.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work
- The journal allows the author(s) to retain publishing rights without restrictions.
- The journal allows the author(s) to hold the copyright without restrictions.