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Hands-On Edge Analytics with Azure IoT - Design and develop IoT applications with edge analytical solutions including Azure IoT Edge (Paperback)
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Hands-On Edge Analytics with Azure IoT - Design and develop IoT applications with edge analytical solutions including Azure IoT Edge (Paperback)
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Design, secure, and protect the privacy of edge analytics
applications using platforms and tools such as Microsoft's Azure
IoT Edge, MicroPython, and Open Source Computer Vision (OpenCV) Key
Features Become well-versed with best practices for implementing
automated analytical computations Discover real-world examples to
extend cloud intelligence Develop your skills by understanding edge
analytics and applying it to research activities Book
DescriptionEdge analytics has gained attention as the IoT model for
connected devices rises in popularity. This guide will give you
insights into edge analytics as a data analysis model, and help you
understand why it's gaining momentum. You'll begin with the key
concepts and components used in an edge analytics app. Moving
ahead, you'll delve into communication protocols to understand how
sensors send their data to computers or microcontrollers. Next, the
book will demonstrate how to design modern edge analytics apps that
take advantage of the processing power of modern single-board
computers and microcontrollers. Later, you'll explore Microsoft
Azure IoT Edge, MicroPython, and the OpenCV visual recognition
library. As you progress, you'll cover techniques for processing AI
functionalities from the server side to the sensory side of IoT.
You'll even get hands-on with designing a smart doorbell system
using the technologies you've learned. To remove vulnerabilities in
the overall edge analytics architecture, you'll discover ways to
overcome security and privacy challenges. Finally, you'll use tools
to audit and perform real-time monitoring of incoming data and
generate alerts for the infrastructure. By the end of this book,
you'll have learned how to use edge analytics programming
techniques and be able to implement automated analytical
computations. What you will learn Discover the key concepts and
architectures used with edge analytics Understand how to use
long-distance communication protocols for edge analytics Deploy
Microsoft Azure IoT Edge to a Raspberry Pi Create Node-RED
dashboards with MQTT and Text to Speech (TTS) Use MicroPython for
developing edge analytics apps Explore various machine learning
techniques and discover how machine learning is related to edge
analytics Use camera and vision recognition algorithms on the
sensory side to design an edge analytics app Monitor and audit edge
analytics apps Who this book is forIf you are a data analyst, data
architect, or data scientist who is interested in learning and
practicing advanced automated analytical computations, then this
book is for you. You will also find this book useful if you're
looking to learn edge analytics from scratch. Basic knowledge of
data analytics concepts is assumed to get the most out of this
book.
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