The Role of Big Data Analytics in Internet of Things : Comparative Analytical Study | ||||
| International Journal of Library and Information Sciences | ||||
| Article 2, Volume 7, Issue 2, April 2020, Page 74-111 PDF (1.26 MB) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/ijlis.2020.105260 | ||||
 View on SCiNiTO | ||||
| Author | ||||
Dr. Yara Maher Mohamed Qenawi 
| ||||
| 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 | ||||
| big data analytics; Internet of things; IOT platforms; Hadoop | ||||
|
Statistics Article View: 184 PDF Download: 1,673 |
||||
