Hands-On Edge Analytics with Azure IoT: Design and develop IoT applications with edge analytical solutions using Microsoft's Azure IoT Edge [Mīkstie vāki]

  • Formāts: Paperback / softback, 257 pages, height x width: 235x191 mm
  • Izdošanas datums: 22-May-2020
  • Izdevniecība: Packt Publishing Limited
  • ISBN-10: 1838829903
  • ISBN-13: 9781838829902
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  • Mīkstie vāki
  • Cena: 47,62 €
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  • Formāts: Paperback / softback, 257 pages, height x width: 235x191 mm
  • Izdošanas datums: 22-May-2020
  • Izdevniecība: Packt Publishing Limited
  • ISBN-10: 1838829903
  • ISBN-13: 9781838829902
Citas grāmatas par šo tēmu:
Design, secure, and protect the privacy of edge analytics applications using various platforms and tools such as Microsoft's Azure IoT Edge, MicroPython, and OpenCV Key Features * Become well-versed with best practices to implement automated analytical computations Discover real-world examples to extend cloud intelligence * Develop your skills by understanding edge analytics and applying them to research activities Book Description Edge analytics has gained attention as the IoT model for connected devices is rising in popularity. This guide will give you insights into edge analytics as a data analysis model, and why it's gaining momentum. You'll begin with the key concepts and components used in an edge analytics app. You'll then 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 and AI functionality from the server-side to the sensory side of IoT. You'll even explore how to design a smart doorbell system using the technologies you will have learned about. 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 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 how machine learning is related to edge analytics * Use camera and vision recognition algorithms on the sensory side to design an edge analytics app * Learn to monitor and audit edge analytics apps Who This Book Is For If 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.
Colin Dow is the owner and chief engineer of Sigma Rockets and Aerospace Inc., a model aerospace business. He has enjoyed working with numerous educational facilities and hobbyists in delivering product sales, presentations, and aerospace workshops over the years. Colin has extensive experience of creating website content, educational documentation, and instructional videos. He has been a programmer since early home computers first caught his eye. He has worked as a software developer for some of Canada's largest companies, using technologies, such as Python, Java, J2EE, PHP, Pearl, Ruby on Rails, Apache, and SOAP web services. Colin has extensive experience of creating website content, educational documentation, and instructional videos.