文章基本信息

标题：Scope And Challenges Of Mobile Analytics In Digital Learning
本地全文：下载
作者：Ritu Jhalani ; Gajanand Sharma
期刊名称：Journal of Management Engineering and Information Technology
电子版ISSN：2394-8124
出版年度：2017
卷号：4
期号：6
页码：5
语种：English
出版社：MRES
摘要：Big data is a term for vast data sets containing large, more varied and complex structure with the difficulties of storing, analyzing and visualizing for further processes or results. Research for Big Data will focus on analysing the challenges and contingencies associated with the immense, unstructured, enormous and dynamic nature of Big Data. These Big Data attributes are fitted poorly for relational models of conventional database systems and end-user requirement for complicated, real-time decision-making stay unmet. Big data is now a reality: The volume, variety and velocity of data coming into your organization continue to reach unrivalled levels. Big data is difficult to work with using most relational database management system. "Big Data" has required of IT specialists in Software AG, Oracle Corporation, IBM, Microsoft , SAP and Dell. They have spent a large amount on software firms just only for data management and analytics. Big data requires advanced technologies to effectively process a bulk of data within optimized time limit. In private sector eBay uses two data warehouses at 7.5 petabytes. Everyday amazon has to handle millions of back-end operations. Research of big data leads to Mobile analytics also. Mobile is changing the way people communicate, work and play, enhance their knowledge and this is driven by mobile apps which are increasingly being using in digital education. Every day people are engaged in exciting new forms of learning. Mobile analytics studies the behaviour of mobile application visitors and consumer engagement. Data collected as a part of mobile analytics typically includes page views, visits, no. of visitors and countries along with information specific to mobile devices such as device model, device capabilities, service providers, Web page tagging and Visitor identification. Extraction of these useful informations for developer will help of gaining richer and deeper insights and getting an advantage in the competitive market and create smart learning environment in context of user convenience. In this paper, we focus on overview of set of tools that provide capabilities as event tracking with better extraction of data with associated challenges.