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
