Business in Real-Time Using Azure IoT and Cortana Intelligence Suite

Driving Your Digital Transformation

Häftad, Engelska, 2017

639 kr

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Providing prescriptive guidance for architects and developers on the design and development of modern Internet of Things (IoT) and Advanced Analytics solutions, this book also offers patterns and practices for those looking to engage their customers and partners through Software-as-a-Service solutions that work on any device.

Produktinformation

Utgivningsdatum2017-06-07
Mått178 x 254 x 37 mm
Vikt1 050 g
FormatHäftad
SpråkEngelska
Antal sidor525
FörlagAPress
ISBN9781484226490

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Bob Familiar is the National Pracice Director for BlueMetal. Bob Familiar has been in the software industry for 30 years having worked for both ISVs such as Dunn & Bradstreet Software and ON Technology and for Microsoft as a Principal Consultant, Architect Evangelist and Director of Technology Evangelism. Bob holds a Masters in Computer Science from Northeastern and a patent for Object Relational Database and Distributed Computing and is the Author of Microservices, IoT and Azure by Apress.Jeff Barnes is a Cloud Solution Architect on the Microsoft Partner Enterprise Architect Team (PEAT) where he helps global Microsoft partners with pre-sales Azure architecture support. Jeff has been in the industry for over 30 years and he has been with Microsoft for the last (18) years. During that time, he has held several key Software Architect roles at Microsoft including consulting, evangelism, and partner divisions. Priorto Microsoft, Jeff worked for several Fortune 500 financial, manufacturing, and retail companies. Jeff holds a Bachelor of Management Information Systems from Florida State University and is the author of Microsoft Azure Essentials: Azure Machine Learning by Microsoft Press.

Chapter 1. Real-Time Business.- Chapter 2. DevOps using PowerShell, ARM and VSTS.- Chapter 3. Device Management Using IoT Hub.- Chapter 4. Sensors, Devices, and Gateways.- Chapter 5. Real-Time Processing Using Azure Stream Analytics.- Chapter 6. Batch Processing with Data Factory and Data Lake Store.- Chapter 7. Advanced Analytics Using Data Lake Analytics.- Chapter 8. Advanced Analytics Using Machine Learning and R.- Chapter 9. Data Visualization, Alerts and Notifications Using PowerBI and Xamarin.- Chapter 10. Security and Identity.- Chapter 11. Epilogue.