International Journal of Computing, Programming and Database Management

P-ISSN: 2707-6636, E-ISSN: 2707-6644
Printed Journal   |   Refereed Journal   |   Peer Reviewed Journal

2020, Vol. 1, Issue 1, Part A

Analysis of Android Applications Using Big Data Analytics

Author(s): Thanneeru Madhu

Abstract: The conventional human needs were food, shelter and clothing. But as the digital world is emerging, these needs have been changing to smart phones, mobile data and applications. Digitalization has become one of the most important part of human life today. And to make sure it connected through the virtual world; applications play an important role. The development of android phones along with android applications has eased our lives. In the past decade there were lakhs of android applications developed creating huge amounts of data. The data presently generated by these applications is in terabytes and it may soon reach zettabytes and even yottabytes. Out of such huge data that gives the users enormous choices, the users are ambiguous in choosing which app actually meets their needs exactly. The solution to this problem is my paper where it classifies the applications based on the ratings, category and also use dynamic search. i can perform some more realistic handling of data operation through latest technology tool called Hadoop, a very famous Big Data analytical tool. Here I am using Map Reduce as a processing component and involving fault tolerant file system, HDFS (Hadoop Distributed File System) as storage component.

DOI: 10.33545/27076636.2020.v1.i1a.8

Pages: 35-40 | Views: 489 | Downloads: 175

Download Full Article: Click Here
How to cite this article:
Thanneeru Madhu. Analysis of Android Applications Using Big Data Analytics. Int J Comput Programming Database Manage 2020;1(1):35-40. DOI: 10.33545/27076636.2020.v1.i1a.8
International Journal of Computing, Programming and Database Management
Call for book chapter