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Serverless Integration Design Patterns with Azure

Serverless Integration Design Patterns with Azure

By : Abhishek Kumar, Mahendrakar
4 (1)
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Serverless Integration Design Patterns with Azure

Serverless Integration Design Patterns with Azure

4 (1)
By: Abhishek Kumar, Mahendrakar

Overview of this book

With more enterprises adapting cloud-based and API-based solutions, application integration has become more relevant and significant than ever before. Parallelly, Serverless Integration has gained popularity, as it helps agile organizations to build integration solutions quickly without having to worry about infrastructure costs. With Microsoft Azure’s serverless offerings, such as Logic Apps, Azure Functions, API Management, Azure Event Grid and Service Bus, organizations can build powerful, secure, and scalable integration solutions with ease. The primary objective of this book is to help you to understand various serverless offerings included within Azure Integration Services, taking you through the basics and industry practices and patterns. This book starts by explaining the concepts of services such as Azure Functions, Logic Apps, and Service Bus with hands-on examples and use cases. After getting to grips with the basics, you will be introduced to API Management and building B2B solutions using Logic Apps Enterprise Integration Pack. This book will help readers to understand building hybrid integration solutions and touches upon Microsoft Cognitive Services and leveraging them in modern integration solutions. Industry practices and patterns are brought to light at appropriate opportunities while explaining various concepts.
Table of Contents (15 chapters)
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Machine learning and digital transformation

Industries are always striving for the competitive advantage and trying to make use of cutting-edge technology to do so. Machine learning is one technology that is transforming organizations in domains such as finance, retail, and healthcare. It can provide the following benefits:

  • Customer satisfaction: Machine learning can help an organization to decipher the intent and meaning behind emails and delivery notes to prioritize tasks and ensure sustained satisfaction. AI-based chatbots are capable of providing coherent and semantically correct responses. This leads to greater customer satisfaction and provides an economic advantage to organizations.
  • Reacting to market trends: In the investment banking sector, where reacting to market trends such as volatility is a very crucial part of the business, machine-learning-based systems can recognize...
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