Book Image

Mastering Cloud Development using Microsoft Azure

By : Roberto Freato, Marco Parenzan
Book Image

Mastering Cloud Development using Microsoft Azure

By: Roberto Freato, Marco Parenzan

Overview of this book

Microsoft Azure is a cloud computing platform that supports many different programming languages, tools, and frameworks, including both Microsoft-specific and third-party software and systems. This book starts by helping you set up a professional development environments in the cloud and integrating them with your local environment to achieve improved efficiency. You will move on to create front-end and back-end services, and then build cross-platform applications using Azure. Next you’ll get to grips with advanced techniques used to analyze usage data and automate billing operations. Following on from that, you will gain knowledge of how you can extend your on-premise solution to the cloud and move data in a pipeline. In a nutshell, this book will show you how to build high-quality, end-to-end services using Microsoft Azure. By the end of this book, you will have the skillset needed to successfully set up, develop, and manage a full-stack Azure infrastructure.
Table of Contents (15 chapters)
Mastering Cloud Development using Microsoft Azure
About the Authors
About the Reviewer

Polyglot Persistence

With all these principles in mind, we can think of two main considerations.

The first is as a database system creator, someone who can develop new database systems that can privilege some features over others (partitioning, indexing, and so on). These features, in general, differ from those that RDBMS typically supports.

The second is as a database user (the application developer). We can decide who will take over the responsibility of writing different data models we could use in our solutions. We can choose a different database engine that can differently optimize the features required by an application (storing, querying, searching, and indexing). Alternatively, we can take explicit responsibility in implementing different data stores in different database engines.

We can cite Martin Fowler:

Polyglot Persistence is the practice of using multiple data-storage technologies, chosen based on the way data is being used by individual applications.

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