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

1. Front Matter

   Pages i-xix

   PDF

2. Business in Real-Time

   • Bob Familiar, Jeff Barnes

   Pages 1-19

3. DevOps Using PowerShell, ARM, and VSTS

   • Bob Familiar, Jeff Barnes

   Pages 21-93

4. Device Management Using IoT Hub

   • Bob Familiar, Jeff Barnes

   Pages 95-126

5. Sensors, Devices, and Gateways

   • Bob Familiar, Jeff Barnes

   Pages 127-168

6. Real-Time Processing Using Azure Stream Analytics

   • Bob Familiar, Jeff Barnes

   Pages 169-226

7. Batch Processing with Data Factory and Data Lake Store

   • Bob Familiar, Jeff Barnes

   Pages 227-290

8. Advanced Analytics with Azure Data Lake Analytics

   • Bob Familiar, Jeff Barnes

   Pages 291-350

9. Advanced Analytics Using Machine Learning and R

   • Bob Familiar, Jeff Barnes

   Pages 351-396

10. Data Visualizations, Alerts, and Notifications with Power BI

    • Bob Familiar, Jeff Barnes

    Pages 397-473

11. Security and Identity

    • Bob Familiar, Jeff Barnes

    Pages 475-516

12. Epilogue

    • Bob Familiar, Jeff Barnes

    Pages 517-518

13. Back Matter

    Pages 519-525

    PDF

Learn how today’s businesses can transform themselves by leveraging real-time data and advanced machine learning analytics. 


This book provides prescriptive guidance for architects and developers on the design and development of modern Internet of Things (IoT) and Advanced Analytics solutions. In addition, Business in Real-Time Using Azure IoT and Cortana Intelligence Suite offers patterns and practices for those looking to engage their customers and partners through Software-as-a-Service solutions that work on any device.


Whether you're working in Health & Life Sciences, Manufacturing, Retail, Smart Cities and Buildings or Process Control, there exists a common platform from which you can create your targeted vertical solutions. Business in Real-Time Using Azure IoT and Cortana Intelligence Suite uses a reference architecture as a road map. Building on Azure’s PaaS services, you'll see how a solution architecture unfolds that demonstrates a complete end-to-end IoT and Advanced Analytics scenario.


What You'll Learn:

• Automate your software product life cycle using PowerShell, Azure Resource Manager Templates, and Visual Studio Team Services
  
• Implement smart devices using Node.JS and C#
• Use Azure Streaming Analytics to ingest millions of events
• Provide both "Hot" and "Cold" path outputs for real-time alerts, data transformations, and aggregation analytics
  
• Implement batch processing using Azure Data Factory
• Create a new form of Actionable Intelligence (AI) to drive mission critical business processes
  
• Provide rich Data Visualizations across a wide variety of mobile and web devices 

Who This Book is For:



Solution Architects, Software Developers, Data Architects, Data Scientists, and CIO/CTA Technical Leadership Professionals

• Internet of Things
• IoT
• Azure
• Stream Processing
• Edge Analytics
• Machine Learning
• Cognitive APIs
• Big Data
• Data Lake
• Device Management
• Device Twin
• Visual Studio Team Services
• DevOps
• Streaming Analytics
• Data Factory and Data Lake
• Real-time Analytics with Power BI
• Notification Hubs
• Push Notifications
• Cognitive APIs
• Bot Framework

• Sudbury, USA

  Bob Familiar

• Miami, USA

  Jeff Barnes

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. Prior to 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.

Policies and ethics