The Role of Big Data Analytics in Internet of Things : Comparative Analytical Study

Document Type : Original Article

Author

Assistant Professor, Department of Libraries and Information Minya University

Abstract

The study Aimed to Identify in a Relation Ship big data analytics in IOT
applications benefits big data in internet of things , and Show the most popular
platforms to big data and IOT such as : Kaa , Hadoop , MAPR , and study the
requirements of big data analytics in IOT finally show challenges facing big data
in IOT the study was approved on the comparative method and reached several
results the most important of them , the main problems that you face big data in
IOT security and privacy 97%
The most important results of the study :
 Big data and the Internet of things are complementary to each other, and
this integration is achieved through data analysis platforms.
 One of the most common security problems in IoT applications with big
data is data center security, access control, redundant data filtering.
 One of the standards of open source Internet of Things platforms is
standards of integration, security and confidentiality, protocols,
visualization support, databases.
 One of the most used big data analytics platforms is Hadoop, with a
percentage of 90%, followed by Map R with 72.3%. Kaa is also one of the
most used Internet of Things platforms and uses its huge ability to
manage devices.
 One of the most used terms in big data studies is terms: big data, data
mining, data delivery, digital archiving, decision making, artificial
intelligence, and cloud computing.

Keywords