Big Data Analytics for IoT: Overview and Challenges
Analyzing large datasets for IoT applications presents various advantages and disadvantages. Key topics covered include introduction to big data analytics, IoT technologies, literature survey, tools, working principles, and challenges in security, complexity, trust, and privacy.
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Presentation Transcript
Big Data analytics For IOT Under Guidance : Prof. B.A.Khivsara mam Presented By: Monali Chavan TE Computer, Late Sau. Kantabai Bhavarlalji Jain, College Of Engineering
Contents Introduction Literature Survey Working Challenges and Future Scope Application Conclusion References
INTRODUCTION- Big Data analytic Big data analytics is the process of collecting, organizing and analyzing large sets of data (called big data) to discover patterns and other useful information. big data
Big Data Analytics Advantages Disaster Recovery Accessibility Disadvantages Data security Bandwidth
INTRODUCTION- IOT
Internet Of Things Advantages Tracking Time Disadvantages Complexity Security
Techniques and Tools for Big Data Analytics Techniques Tools Pentaho Business Analytics Crowd- sourcing Karmasphere Studio and Analyst Hadoop
Technologies and Tools for IOT Technologies Tools Light-Fidelity Aurdino RFID BeagleBoard
Smart Home Using Big Data Analytics
Sensors Door contacts Windows contacts Motion activated sensors Glass break Sensors
Challenges and Future Scope Security Complexity Trust and Privacy
Application Continuous Monitoring of IOT as source of Big Data 1. HealthCare 2. Parking 3. Smart City 4. Smart Home Continuous Monitoring of Social Media as source of Big Data 1. Facebook 2. Twitter 3. Gmail
Conclusion The potential of the IoT appears to be great, despite the range of issues that need to be Addressed. This paper has sought to highlight the IoT concept in general and big data analytics . Based on above ,It can be considered that new research problems arise due to the large scale of devices, the connection of the physical and internet worlds , the openness of the systems of systems, and continuing problems of privacy and security.
References https://www.researchgate.net/publication/258566915_Big_Data_Analytics_in_Future_Intern et_of_Things http://www.slideshare.net/MohanKumarG/internetofthings-iot-aseminar-ppt-by- mohankumarg http://www.webopedia.com/TERM/B/big_data_analytics.html http://www.datamation.com/applications/why-big-data-and-the-internet-of-things-are-a- perfect-match.html http://www.ibmbigdatahub.com/blog/internet-things-and-evolving-role-big-data-analytics- insight-economy http://www.ijarcce.com/upload/2016/march-16/IJARCCE%20226.pdf
References http://www.kdnuggets.com/2016/07/open-source-tools-internet-things.html https://e27.co/advantages-disadvantages-internet-things-20160615/ http://www.infoworld.com/article/2616959/big-data/7-top-tools-for-taming- big-data.html http://homementors.com/sensors-used-by-a-smart-house-wireless- security-system/ http:// bigdata - madesimple:com/5-advantages-and disadvantages -of cloud-storage
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