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Serverless Integration Design Patterns with Azure

You're reading from   Serverless Integration Design Patterns with Azure Build powerful cloud solutions that sustain next-generation products

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Product type Paperback
Published in Feb 2019
Publisher Packt
ISBN-13 9781788399234
Length 494 pages
Edition 1st Edition
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Authors (2):
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Abhishek Kumar Abhishek Kumar
Author Profile Icon Abhishek Kumar
Abhishek Kumar
Srinivasa Mahendrakar Srinivasa Mahendrakar
Author Profile Icon Srinivasa Mahendrakar
Srinivasa Mahendrakar
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Table of Contents (15) Chapters Close

Preface 1. Serverless Integration with Microsoft Azure FREE CHAPTER 2. Azure Functions and Enterprise Integration 3. Introduction to Azure Event Grid 4. Azure API Management 5. Azure Service Bus with Integration Services 6. Introduction to Logic Apps 7. Control Flow Actions and Custom Connectors 8. Patterns with Azure Integration Services 9. B2B/EDI Solutions for Enterprise Integration with Azure Logic Apps 10. Hybrid Integration, BizTalk Server 2016 and an On-Premises Data Gateway 11. Intelligence in Integration Using Azure Cognitive Services 12. DevOps for Azure Integration 13. Monitoring for Azure Integration 14. Other Books You May Enjoy

Case study – ShipAnywhere feedback analysis

Consider a fictional logistical company called ShipAnyWhere that specializes in commerce and fulfillment solutions for e-commerce businesses across the world. It has more than 100 distribution centers across more than 30 countries. It provides business-to-business, e-commerce, and multi-channel fulfillment solutions to customers using cutting-edge technologies.

After each delivery, they take feedback from customers. One major component of the feedback is a remark section, where the users are allowed to write their feedback. There are millions of users being served by the organization, and it is important to find the sentiment of these comments and analyze the overall trend of customer happiness.

Currently, all the data is stored in a SQL server. ShipAnyWhere wants their sentiment values to be stored in another SQL server, which...

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