國立高雄大學圖資館 |

Language: English

Back

Azure Internet of things revealedarc...

SpringerLink (Online service)

Azure Internet of things revealedarchitecture and fundamentals /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Azure Internet of things revealedby Robert Stackowiak.
Reminder of title:	architecture and fundamentals /
Author:	Stackowiak, Robert.
Published:	Berkeley, CA :Apress :2019.
Description:	xv, 205 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Internet of things.
Online resource:	https://doi.org/10.1007/978-1-4842-5470-7
ISBN:	9781484254707$q(electronic bk.)

Azure Internet of things revealedarchitecture and fundamentals /
Stackowiak, Robert.

Azure Internet of things revealedarchitecture and fundamentals /[electronic resource] :by Robert Stackowiak. - Berkeley, CA :Apress :2019. - xv, 205 p. :ill., digital ;24 cm.

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$q(electronic bk.)

Standard No.: 10.1007/978-1-4842-5470-7doiSubjects--Uniform Titles:

Windows Azure.
Subjects--Topical Terms:

670954
Internet of things.

LC Class. No.: TK5105.8857 / .S73 2019

Dewey Class. No.: 004.678

Azure Internet of things revealedarchitecture and fundamentals /
LDR:02620nmm a2200325 a 4500 001 569735
003 DE-He213
005 20191109203852.0
006 m d
007 cr nn 008maaau
008 200723s2019 cau s 0 eng d
020 $a 9781484254707$q(electronic bk.)
020 $a 9781484254691$q(paper)
024 7 $a 10.1007/978-1-4842-5470-7 $2 doi
035 $a 978-1-4842-5470-7
040 $a GP $c GP
041 0 $a eng
050 4 $a TK5105.8857 $b .S73 2019
072 7 $a UMP $2 bicssc
072 7 $a COM051380 $2 bisacsh
072 7 $a UMP $2 thema
082 0 4 $a 004.678 $2 23
090 $a TK5105.8857 $b .S775 2019
100 1 $a Stackowiak, Robert. $3 725280
245 1 0 $a Azure Internet of things revealed $h [electronic resource] : $b architecture and fundamentals / $c by Robert Stackowiak.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2019.
300 $a xv, 205 p. : $b ill., digital ; $c 24 cm.
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 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.
630 0 0 $a Windows Azure. $3 541398
650 0 $a Internet of things. $3 670954
650 1 4 $a Microsoft and .NET. $3 760507
650 2 4 $a Machine Learning. $3 833608
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
856 4 0 $u https://doi.org/10.1007/978-1-4842-5470-7
950 $a Professional and Applied Computing (Springer-12059)