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 (Io T) and Advanced Analytics solutions. In addition,
Business in Real-Time Using Azure Io T 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 Io T and Cortana Intelligence Suite uses a reference architecture as a road map. Building on Azure’s Paa S services, you’ll seehow a solution architecture unfolds that demonstrates a complete end-to-end Io T and Advanced Analytics scenario.
What You’ll Learn:
- Automate your software product life cycle using Power Shell, 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
قائمة المحتويات
Chapter 1. Real-Time Business.- Chapter 2. Dev Ops using Power Shell, ARM and VSTS.- Chapter 3. Device Management Using Io T 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 Power BI and Xamarin.- Chapter 10. Security and Identity.- Chapter 11. Epilogue.
عن المؤلف
Bob Familiar is the National Pracice Director for Blue Metal. 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, Io T 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.
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