Azure Internet of things revealed : architecture and fundamentals
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Format
Language
English
ISBN
9781484254707, 1484254708
UPC
10.1007/978-1-4842-5470-7, 10.1007/978-1-4842-5
Notes
General Note
Includes index.
Bibliography
Includes bibliographical references and index.
Description
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 Microsofts 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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O'Reilly,O'Reilly Online Learning: Academic/Public Library Edition
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Citations
APA Citation, 7th Edition (style guide)
Stackowiak, R. (2019). Azure Internet of things revealed: architecture and fundamentals . Apress.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Stackowiak, Robert. 2019. Azure Internet of Things Revealed: Architecture and Fundamentals. New York: Apress.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Stackowiak, Robert. Azure Internet of Things Revealed: Architecture and Fundamentals New York: Apress, 2019.
Harvard Citation (style guide)Stackowiak, R. (2019). Azure internet of things revealed: architecture and fundamentals. New York: Apress.
MLA Citation, 9th Edition (style guide)Stackowiak, Robert. Azure Internet of Things Revealed: Architecture and Fundamentals Apress, 2019.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
Staff View
Grouped Work ID
e40fac37-0daf-faba-5d7a-a02641fd42f5-eng
Grouping Information
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| Full title | azure internet of things revealed architecture and fundamentals |
| Author | stackowiak robert |
| Grouping Category | book |
| Last Update | 2024-12-17 08:30:41AM |
| Last Indexed | 2024-12-17 08:34:38AM |
Book Cover Information
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| First Loaded | May 8, 2024 |
| Last Used | Nov 13, 2024 |
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| 505 | 0 | |a 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. | |
| 520 | |a 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 Microsofts 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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