ScienceDirect Available online at www.sciencedirect.com Procedia Computer Science 155 (2019) 599–605 1877-0509 © 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the Conference Program Chairs. 10.1016/j.procs.2019.08.084 © 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the Conference Program Chairs. Keywords: Big Data; Big Data Analytics; Big Data Applications. 1. Introduction The growth of big data is the outcome of recent technology innovations. Several authors defined “Big Data” as huge amount of data coming from heterogeneous sources at a very high speed, that it is not possible for traditional tools and techniques to analyze and extract value from it. Analytics of Big Data refer to the process of extracting insight from data raw by examining and analyzing its behavior and patterns using qualitative and quantitative techniques. * Corresponding author. Tel.: +212-610-081-260; fax: +0-000-000-0000 . E-mail address: rabhi.lubna@gmail.com International Workshop on Applying Data Mining Techniques to E-Learning and Pedagogical Approaches (ADMEPA) August 19-21, 2019, Halifax, Canada Big Data Approach and its applications in Various Fields: Review Loubna Rabhi a *, Noureddine Falih b , Abdlekbir Afraites a , Belaid Bouikhalene b a Mathematics and Applications Laboratory, Faculty of Sciences and Technology, Sultan Moulay Slimane University, Beni Mellal 23000, Morroco b Laboratory of Innovation, Applied Mathematics and Information Technologies Polydisciplinary Faculty - Sultan Moulay Slimane University, Beni Mellal 23000, Morroco Abstract “Big Data” refers to the extensive heave of data having varied and complex structure that can't be managed by traditional dat a handling methods and techniques. Now a day’s Big data analytics is most preferably used in enterprises, it plays a vital role in various fields. This paper presents an explanation of these applications such as Telecommunication, Business Process Management (BPM) and Human Resources Management (HRM).