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IoT and Edge Computing for Architects

You're reading from IoT and Edge Computing for Architects Implementing edge and IoT systems from sensors to clouds with communication systems, analytics, and security

Product type Paperback

Published in Mar 2020

Publisher Packt

ISBN-13 9781839214806

Length 632 pages

Edition 2nd Edition

Concepts

Edge Computing

Author (1):

Perry Lea

View More author details

Table of Contents (17) Chapters

Preface

1. IoT and Edge Computing Definition and Use Cases

2. IoT Architecture and Core IoT Modules FREE CHAPTER

3. Sensors, Endpoints, and Power Systems

4. Communications and Information Theory

5. Non-IP Based WPAN

6. IP-Based WPAN and WLAN

7. Long-Range Communication Systems and Protocols (WAN)

8. Edge Computing

9. Edge Routing and Networking

10. Edge to Cloud Protocols

11. Cloud and Fog Topologies

12. Data Analytics and Machine Learning in the Cloud and Edge

13. IoT and Edge Security

14. Consortiums and Communities

15. Other Books You May Enjoy

16. Index

Summary

This chapter was a brief introduction to data analytics for IoT in the cloud and in the fog. Data analytics is where the value is extracted out of the sea of data produced by millions or billions of sensors. Analytics is the realm of the data scientist and consists of attempts to find hidden patterns and develop predictions from an overwhelming amount of data. To be valuable, all this analysis needs to be at or near real time to make life-critical decisions. You need to understand the problem being solved and the data necessary to reveal the solution. Only then can a data analysis pipeline be architected well. This chapter exposed several data analysis models as well as an introduction to the four relevant machine learning domains.

These analytics tools are the heart of value in IoT to derive meaning from the nuances of massive amounts of data in real time. Machine learning models can predict future events based on current and historical patterns...

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Authors (1)

Perry Lea

Perry Lea

Perry Lea has spent 21 years at Hewlett Packard as a distinguished technologist and chief architect. Then, he served as a member of technical staff and strategic director at Micron Technologies leading a team working on advanced computing devices. Currently, he is a technical director at Cradlepoint where he leads advancement and research in IoT and fog compute. Perry has degrees in computer science, computer engineering, and an EE degree from Columbia University. He is a senior member of IEEE and a senior member and distinguished speaker of ACM. He has 8 patents with 40 pending.

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