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The Azure IoT Handbook. Unlock the power of Internet of Things connectivity and intelligence - Helion

The Azure IoT Handbook. Unlock the power of Internet of Things connectivity and intelligence
ebook
Autor: Dan Clark
Tytuł oryginału: The Azure IoT Handbook. Unlock the power of Internet of Things connectivity and intelligence
ISBN: 9781837631360
Format: ebook
Księgarnia: Helion

Cena książki: 119,00 zł

Książka będzie dostępna od grudnia 2023

With the rise of cloud-based computing, deploying IoT systems has become more cost-effective for businesses. This transformation has led to developers and architects shouldering the responsibility of creating, managing, and securing these systems, even if they are new to the IoT technology. The Azure IoT Handbook is a comprehensive introduction to quickly bring you up to speed in this rapidly evolving landscape.
Starting with the basic building blocks of any IoT system, this book guides you through mobile device management and data collection using an IoT hub. You’ll explore essential tools for system security and monitoring. Following data collection, you’ll delve into real-time data analytics using Azure Stream Analytics and view real-time streaming on a Power BI dashboard. Packed with real-world examples, this book covers common IoT use cases and walks you through the creation of a proof-of-value IoT development project.
By the end of this IoT book, you’ll know how to design and develop IoT solutions leveraging intelligent edge-to-cloud technologies implemented on Azure.

Spis treści

The Azure IoT Handbook. Develop IoT solutions using the intelligent edge-to-cloud technologies eBook -- spis treści

  • 1. An Introduction to the IoT
  • 2. Exploring the IoT Hub Service
  • 3. Provisioning Devices with the Device Provisioning Service
  • 4. Exploring Device Management and Monitoring
  • 5. Securing IoT Systems
  • 6. Creating Message Routing
  • 7. Exploring Azure Stream Analytics
  • 8. Investigating IoT Data with Azure Data Explorer
  • 9. Exploring IoT Edge Computing
  • 10. Visualizing Streaming Data in Power BI
  • 11. Integrating Machine Learning
  • 12. Responding to Device Events

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