Overview
Provides a business case for IoT and Advanced Analytics that focuses on operational efficiencies and new revenue opportunities
Details both architecture patterns and implementation for a complete end-to-end IoT and Advanced Analytics solution built on the Azure PaaS Platform
Provides DevOps automation scripts, source code and step by step instructions on how to implement the reference implementation that accompanies the book
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Table of contents (11 chapters)
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Front Matter
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Back Matter
Keywords
- 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
About this book
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
Solution Architects, Software Developers, Data Architects, Data Scientists, and CIO/CTA Technical Leadership Professionals
Authors and Affiliations
About the authors
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.
Bibliographic Information
Book Title: Business in Real-Time Using Azure IoT and Cortana Intelligence Suite
Book Subtitle: Driving Your Digital Transformation
Authors: Bob Familiar, Jeff Barnes
DOI: https://doi.org/10.1007/978-1-4842-2650-6
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Professional and Applied Computing (R0), Apress Access Books
Copyright Information: Bob Familiar and Jeff Barnes 2017
Softcover ISBN: 978-1-4842-2649-0Published: 07 June 2017
eBook ISBN: 978-1-4842-2650-6Published: 05 June 2017
Edition Number: 1
Number of Pages: XXV, 525
Number of Illustrations: 13 b/w illustrations, 367 illustrations in colour
Topics: Computer Communication Networks