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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

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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

Data Analytics and Machine Learning in the Cloud and Edge

The value of an IoT system is not a single sensor event, or a million sensor events archived away. A significant amount of the value of IoT is in the interpretation of data and decisions based on that data.

While a world of billions of things connected and communicating with each other and the cloud is well and good, the value lies in what is within the data, what is not in the data, and what the patterns of data tell us. These are the data science and data analytics portions of IoT, and probably the most valuable areas for the customer.

Analytics for the IoT segment deals with:

Structured data (for example, SQL storage): A predictable format of data
Unstructured data (for example, raw video data or signals): A high degree of randomness and variance
Semi-structured (for example, Twitter feeds): Some degree of variance and randomness in form

Data also may need to be interpreted and analyzed...

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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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