Design, build, and justify an optimal Microsoft IoT footprint to meet your project needs. This book describes common Internet of Things components and architecture and then focuses on Microsoft's Azure components relevant in deploying these solutions.
Microsoft-specific topics addressed include: deploying edge devices and pushing intelligence to the edge; connecting IoT devices to Azure and landing data there, applying Azure Machine Learning, analytics, and Cognitive Services; roles for Microsoft solution accelerators and managed solutions; and integration of the Azure footprint with legacy infrastructure.
The book concludes with a discussion of best practices in defining and developing solutions and creating a plan for success.
What You Will Learn
Design the right IoT architecture to deliver solutions for a variety of project needs
Connect IoT devices to Azure for data collection and delivery of services
Use Azure Machine Learning and Cognitive Services to deliver intelligence in cloud-based solutions and at the edge
Understand the benefits and tradeoffs of Microsoft's solution accelerators and managed solutions
Investigate new use cases that are described and apply best practices in deployment strategies
Integrate cutting-edge Azure deployments with existing legacy data sources
Who This Book Is For
Developers and architects new to IoT projects or new to Microsoft Azure IoT components as well as readers interested in best practices used in architecting IoT solutions that utilize the Azure platform
