Book Image

Azure for Architects. - Second Edition

By : Ritesh Modi
Book Image

Azure for Architects. - Second Edition

By: Ritesh Modi

Overview of this book

Over the years, Azure cloud services have grown quickly, and the number of organizations adopting Azure for their cloud services is also gradually increasing. Leading industry giants are finding that Azure fulfills their extensive cloud requirements. Azure for Architects – Second Edition starts with an extensive introduction to major designing and architectural aspects available with Azure. These design patterns focus on different aspects of the cloud, such as high availability, security, and scalability. Gradually, we move on to other aspects, such as ARM template modular design and deployments. This is the age of microservices and serverless is the preferred implementation mechanism for them. This book covers the entire serverless stack available in Azure including Azure Event Grid, Azure Functions, and Azure Logic Apps. New and advance features like durable functions are discussed at length. A complete integration solution using these serverless technologies is also part of the book. A complete chapter discusses all possible options related to containers in Azure including Azure Kubernetes services, Azure Container Instances and Registry, and Web App for Containers. Data management and integration is an integral part of this book that discusses options for implementing OLTP solutions using Azure SQL, Big Data solutions using Azure Data factory and Data Lake Storage, eventing solutions using stream analytics, and Event Hubs. This book will provide insights into Azure governance features such as tagging, RBAC, cost management, and policies. By the end of this book, you will be able to develop a full-?edged Azure cloud solution that is Enterprise class and future-ready.
Table of Contents (17 chapters)

Data integration

We are all well aware of how integration patterns are used for applications: applications composed of multiple services are integrated together using a variety of patterns. However, there is another paradigm that is a requirement for many organizations, known as data integration. This has happened especially during the last decade, when the generation and availability of data has been incredibly high. The velocity, variety, and volume of data being generated has increased drastically, and there is data almost everywhere.

Every organization has many different types of applications, and they all generate data in their own proprietary format. Often, data is also purchased from the marketplace. Even during mergers and amalgamations of organizations, data needs to be migrated and combined.

Data integration refers to the process of bringing data from multiple sources...