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Robust Cloud integration with Azure

You're reading from   Robust Cloud integration with Azure Unleash the power of serverless integration with Azure

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781786465573
Length 696 pages
Edition 1st Edition
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Authors (6):
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Abhishek Kumar Abhishek Kumar
Author Profile Icon Abhishek Kumar
Abhishek Kumar
Martin Abbott Martin Abbott
Author Profile Icon Martin Abbott
Martin Abbott
Gyanendra Kumar Gautam Gyanendra Kumar Gautam
Author Profile Icon Gyanendra Kumar Gautam
Gyanendra Kumar Gautam
James Corbould James Corbould
Author Profile Icon James Corbould
James Corbould
Mahindra Morar Mahindra Morar
Author Profile Icon Mahindra Morar
Mahindra Morar
Ashish Bhambhani Ashish Bhambhani
Author Profile Icon Ashish Bhambhani
Ashish Bhambhani
+2 more Show less
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Toc

Table of Contents (16) Chapters Close

Preface 1. An Introduction to Systems Integration in the Cloud 2. What Is an Azure App Service? FREE CHAPTER 3. Getting Started with API Apps 4. What is Azure API Management? 5. Trigger Your First Logic App in Azure 6. Working with Connectors in Logic Apps 7. Azure Functions in Logic Apps 8. A Deep Dive into Logic Apps 9. Powerful Integration with SaaS Using Logic Apps 10. Advanced Integration with Powerful, Scalable Service Bus in the Cloud 11. Connecting to Event Hubs and an Introduction to IoT Hubs 12. EAI/B2B Integration Using Logic Apps 13. Hybrid Integration Using BizTalk Server 2016 and Logic Apps 14. Tooling and Monitoring for Logic Apps 15. Whats Next for Azure Integration?

Scenario - bringing it all together

In this scenario, Sunny Electricals manufactures industrial electric motors. To ensure that these motors are well maintained, Sunny Electricals has embedded piezo sensors near the bearing housing and temperature sensors in the stator windings. These sensors are then wired to a microcontroller that sends the telemetry data to an Azure IoT Hub every minute.

Scenario - bringing it all together

With this information, Sunny Electricals can tell their customers of possible bearing failure or if the motor is working under stressful loads.

For the scenario, the microcontroller and telemetry data are simulated and posted to a single device in IoT Hub named motordata.

Once received by IoT Hub, the telemetry data is processed by an Azure Stream Analytics job that pushes all data to a Power BI dashboard to show the current data in an easily consumable format. The data is also processed using an Azure Function that makes use of the Event Hub endpoint of the IoT Hub. This process checks for error conditions...

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