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Azure Internet of Things Revealed = ...
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SpringerLink (Online service)
Azure Internet of Things Revealed = Architecture and Fundamentals /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Azure Internet of Things Revealed/ by Robert Stackowiak.
Reminder of title:
Architecture and Fundamentals /
Author:
Stackowiak, Robert.
Description:
XV, 205 p. 96 illus.online resource. :
Contained By:
Springer Nature eBook
Subject:
Microsoft software. -
Online resource:
https://doi.org/10.1007/978-1-4842-5470-7
ISBN:
9781484254707
Azure Internet of Things Revealed = Architecture and Fundamentals /
Stackowiak, Robert.
Azure Internet of Things Revealed
Architecture and Fundamentals /[electronic resource] :by Robert Stackowiak. - 1st ed. 2019. - XV, 205 p. 96 illus.online resource.
1. Modern IoT Architecture Patterns -- 2. Azure IoT Solutions Overview -- 3. IoT Edge Devices and Microsoft -- 4. Azure IoT Hub -- 5. Analyzing and Visualizing Data in Azure -- 6. IoT Central & Solution Accelerators -- 7. Infrastructure Integration -- 8. Developing a Plan for Success -- 9. Appendix: Published Sources.
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. You will: 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.
ISBN: 9781484254707
Standard No.: 10.1007/978-1-4842-5470-7doiSubjects--Topical Terms:
1253736
Microsoft software.
LC Class. No.: QA76.76.M52
Dewey Class. No.: 004.165
Azure Internet of Things Revealed = Architecture and Fundamentals /
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1. Modern IoT Architecture Patterns -- 2. Azure IoT Solutions Overview -- 3. IoT Edge Devices and Microsoft -- 4. Azure IoT Hub -- 5. Analyzing and Visualizing Data in Azure -- 6. IoT Central & Solution Accelerators -- 7. Infrastructure Integration -- 8. Developing a Plan for Success -- 9. Appendix: Published Sources.
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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. You will: 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.
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