Pro Serverless Data Handling with Microsoft Azure – hinnat ja saatavuus

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 LearnKnow what services are available in Microsoft Azure that can deal with large amounts of dataDesign modern data applications based on serverless technology in the cloudTransform and present data without the use of infrastructureEmploy proven design patterns for rapid implementation of serverless data applicationsChoose the correct set of development tools for the services you are usingUnderstand the term "serverless" and how it can be a benefitIdentify scenarios in which serverless is not the best option availableWho This Book Is ForArchitects 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.