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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

Example 1 – The batching or aggregator pattern in Logic Apps

Batch processing is a critical requirement for most organizations. With event-based patterns and cloud consumption models, working with batch files is cost-effective and provides the end user with better insights into the business data. Logic Apps has built-in connectors for batch-processing use cases, in which the batch connector groups related messages and events in a collection until a specific criteria is met.

To understand this more clearly, let's take the example of a social media website. When we post an update on a social media site, we may get some comments. To analyze those comments, it is important to batch them up and pass them to a central repository such as a data lake for analytical purposes, or Cognitive Services for sentiment analysis.

In this example, we have used a Cosmos graph database...

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