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Intelligent Workloads at the Edge

You're reading from Intelligent Workloads at the Edge Deliver cyber-physical outcomes with data and machine learning using AWS IoT Greengrass

Product type Paperback

Published in Jan 2022

Publisher Packt

ISBN-13 9781801811781

Length 374 pages

Edition 1st Edition

Tools

AWS

Concepts

Edge Computing

Authors (2):

Ryan Burke

Indraneel (Neel) Mitra

View More author details

Table of Contents (17) Chapters

Preface

1. Section 1: Introduction and Prerequisites

2. Chapter 1: Introduction to the Data-Driven Edge with Machine Learning FREE CHAPTER

3. Section 2: Building Blocks

4. Chapter 2: Foundations of Edge Workloads

5. Chapter 3: Building the Edge

6. Chapter 4: Extending the Cloud to the Edge

7. Chapter 5: Ingesting and Streaming Data from the Edge

8. Chapter 6: Processing and Consuming Data on the Cloud

9. Chapter 7: Machine Learning Workloads at the Edge

10. Section 3: Scaling It Up

11. Chapter 8: DevOps and MLOps for the Edge

12. Chapter 9: Fleet Management at Scale

13. Section 4: Bring It All Together

14. Chapter 10: Reviewing the Solution with AWS Well-Architected Framework

15. Other Books You May Enjoy

Appendix 1 – Answer Key

Summary

In this chapter, you were introduced to big data concepts relevant to IoT workloads. You learned how to design data flows using DDD approach along with different data storage and data integration patterns that are common with IoT workloads. You implemented a lambda architecture to process fleet telemetry data and an analytical pipeline. Finally, you validated the workflow by consuming data through the APIs and visualizing it through business dashboards. In the next chapter, you will learn how all of this data can be used to build, train, and deploy machine learning models.

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Authors (2)

Indraneel (Neel) Mitra

Indraneel (Neel) Mitra

Indraneel Mitra is a Principal Solutions Architect for IoT at Amazon Web Services. He has 17+ years of IT consulting and architecting experience with start ups and Fortune 500 customers across different industry verticals. He has spoken at different events, including AWS re:Invent, AWS Summits, AWS Webinar and Twitch shows, the RSA cybersecurity conference, the Emerging Technologies for Enterprise (ETE) conference, and local meetups on different topics for many years as a seasoned public speaker. Neel is also the co-author and trainer of the popular IoT course, AWS IoT: Developing and Deploying an Internet of Things, available on Coursera and edX. He holds an M.S. in software engineering from BITS Pilani, India.

See other products by Indraneel (Neel) Mitra

Ryan Burke

Ryan Burke

Ryan Burke is a Senior Sustainability Application Architect at Amazon Web Services, formerly the Worldwide Technical Leader for IoT. He has worked in information technology since 2006, developing web services, user experiences, and architecting IoT solutions. He has spoken to audiences on IoT topics at events including AWS re:Invent, SxSW, TDWI, and local meetup communities. He holds a B.S. in computer science from the Georgia Institute of Technology, and served 6 years as a communications officer in the U.S. Air Force Reserves. In his free time, Ryan enjoys yoga, coffee snobbery, games of all kinds, and annoying his family with a new smart home project.

See other products by Ryan Burke

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