Pro Serverless Data Handling with Microsoft Azure

Design and build architectures on the Microsoft Azure platform specifically for data-driven and ETL applications. Modern cloud architectures rely on serverless components more than ever, and this book helps you identify those components of data-driven or ETL applications that can be tackled using the technologies available on the Azure platform. The book shows you which Azure components are best suited to form a strong foundation for data-driven applications in the Microsoft Azure Cloud.

If you are a solution architect or a decision maker, the conceptual aspects of this book will help you gain a deeper understanding of the underlying technology and its capabilities. You will understand how to develop using Azure Functions, Azure Data Factory, Logic Apps, and to employ serverless databases in your application to achieve the best scalability and design. If you are a developer, you will benefit from the hands-on approach used throughout this book. Many practical examples andarchitectures applied in real-world projects will be valuable to you on your path to serverless success.

What You Will Learn

• Know what services are available in Microsoft Azure that can deal with large amounts of data
• Design modern data applications based on serverless technology in the cloud
• Transform and present data without the use of infrastructure
• Employ proven design patterns for rapid implementation of serverless data applications
• Choose the correct set of development tools for the services you are using
• Understand the term "serverless" and how it can be a benefit
• Identify scenarios in which serverless is not the best option available

Who This Book Is For

Architects and decision makers who want to understand how modern architectures are designed and how to modernize their applications. The book is aimed at the developer who needs a steppingstone to quickly implement a serverless data application. And the book is for any IT professional who seeks a head start to serverless computing for data-heavy applications on the Azure platform.

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