دور تحلیلات البیانات الضخمة فى انترنت الأشیاء : دراسة تحلیلیة مقارنة
The study Aimed to Identify in a Relation Ship big data analytics in IOTapplications benefits big data in internet of things , and Show the most popularplatforms to big data and IOT such as : Kaa , Hadoop , MAPR , and study therequirements of big data analytics in IOT finally show challenges facing...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | Arabic |
| Published: |
Egyptian Libraries Association
2020-04-01
|
| Series: | المجلة الدولية لعلوم المكتبات والمعلومات |
| Subjects: | |
| Online Access: | https://ijlis.journals.ekb.eg/article_105260_f952775ede9e4828d9ea90e9d0787553.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | The study Aimed to Identify in a Relation Ship big data analytics in IOTapplications benefits big data in internet of things , and Show the most popularplatforms to big data and IOT such as : Kaa , Hadoop , MAPR , and study therequirements of big data analytics in IOT finally show challenges facing big datain IOT the study was approved on the comparative method and reached severalresults the most important of them , the main problems that you face big data inIOT security and privacy 97%The most important results of the study : Big data and the Internet of things are complementary to each other, andthis integration is achieved through data analysis platforms. One of the most common security problems in IoT applications with bigdata is data center security, access control, redundant data filtering. One of the standards of open source Internet of Things platforms isstandards of integration, security and confidentiality, protocols,visualization support, databases. One of the most used big data analytics platforms is Hadoop, with apercentage of 90%, followed by Map R with 72.3%. Kaa is also one of themost used Internet of Things platforms and uses its huge ability tomanage devices. One of the most used terms in big data studies is terms: big data, datamining, data delivery, digital archiving, decision making, artificialintelligence, and cloud computing. |
|---|---|
| ISSN: | 2356-8003 2735-3931 |