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Azure IoT Development
Cód:
491_9781801567619

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Design, secure, and protect the privacy of edge analytics applications using platforms and tools such as Microsofts Azure IoT Edge, MicroPython, and Open Source Computer Vision (OpenCV)Key FeaturesBecome well-versed with best practices for implementing automated analytical computationsDiscover real-world examples to extend cloud intelligenceDevelop your skills by understanding edge analytics and applying it to research activitiesBook 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 its gaining momentum.Youll begin with the key concepts and components used in an edge analytics app. Moving ahead, youll 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, youll explore Microsoft Azure IoT Edge, MicroPython, and the OpenCV visual recognition library. As you progress, youll cover techniques for processing AI functionalities from the server-side to the sensory side of IoT. Youll even get hands-on with designing a smart doorbell system using the technologies youve learned. To remove vulnerabilities in the overall edge analytics architecture, youll discover ways to overcome security and privacy challenges. Finally, youll use tools to audit and perform real-time monitoring of incoming data and generate alerts for the infrastructure.By the end of this book, youll have learned how to use edge analytics programming techniques and be able to implement automated analytical computations.What you will learnDiscover the key concepts and architectures used with edge analyticsUnderstand how to use long-distance communication protocols for edge analyticsDeploy Microsoft Azure IoT
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