Skip to Content
Machine Learning Approach for Cloud Data Analytics in IoT
book

Machine Learning Approach for Cloud Data Analytics in IoT

by Sachi Nandan Mohanty, Jyotir Moy Chatterjee, Monika Mangla, Suneeta Satpathy, Sirisha Potluri
July 2021
Intermediate to advanced
528 pages
13h 35m
English
Wiley-Scrivener
Content preview from Machine Learning Approach for Cloud Data Analytics in IoT

10Smart Environment Monitoring Models Using Cloud-Based Data Analytics: A Comprehensive Study

Pradnya S. Borkar and Reena Thakur*

Department of Computer Science and Engineering, Jhulelal Institute of Technology, Nagpur, India

Abstract

The idea of the Internet of Things (IoT) has emerged in recent years and is growing rapidly. The main aim is to connect real-world things over the cloud to the Internet. The various real-time applications such as farming, weather forecasting uses rain, temperature, moisture, and loam sensors which are connected to an Internet. Thus, various kinds of information such as temperature, moisture, humidity, and rain can be processed later by using data analytics method to identify these and make effective decisions and approaches for monitoring smart environment. Similarly, traders of online shopping uses online data collected through various online shopping clouds through servers to analyze which product is to be more in demand, etc. The reflective transformation in economical system shall be possible in coming years through cloud-based data analytics which can be said as reliable, sustainable, and robust system. The transformation of modernization can only be achieved with persistent usage of information technologies and communication technologies to manage as well as integrate this complete system. Therefore, by providing parallel processing of data and distributed data storage, cloud computing has been envisaged as an emerging technology of making ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.

Read now

Unlock full access

More than 5,000 organizations count on O’Reilly

AirBnbBlueOriginElectronic ArtsHomeDepotNasdaqRakutenTata Consultancy Services

QuotationMarkO’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.
Julian F.
Head of Cybersecurity
QuotationMarkI wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.
Addison B.
Field Engineer
QuotationMarkI’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.
Amir M.
Data Platform Tech Lead
QuotationMarkI'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
Mark W.
Embedded Software Engineer

You might also like

Big Data Analytics for Internet of Things

Big Data Analytics for Internet of Things

Tausifa Jan Saleem, Mohammad Ahsan Chishti

Publisher Resources

ISBN: 9781119785804Purchase Link