Book Image

Azure for Developers. - Second Edition

By : Kamil Mrzygłód
5 (1)
Book Image

Azure for Developers. - Second Edition

5 (1)
By: Kamil Mrzygłód

Overview of this book

Microsoft Azure is currently one of the fastest growing public cloud service providers thanks to its sophisticated set of services for building fault-tolerant and scalable cloud-based applications. This second edition of Azure for Developers will take you on a journey through the various PaaS services available in Azure, including Azure App Service, Azure Functions, and Azure SQL Databases, showing you how to build a complete and reliable system with ease. Throughout the book, you’ll discover ways to enhance your skills when building cloud-based solutions leveraging different SQL/NoSQL databases, serverless and messaging components, containerized solutions, and even search engines such as Azure Cognitive Search. That’s not all!! The book also covers more advanced scenarios such as scalability best practices, serving static content with Azure CDN, and distributing loads with Azure Traffic Manager, Azure Application Gateway, and Azure Front Door. By the end of this Azure book, you’ll be able to build modern applications on the Azure cloud using the most popular and promising technologies to make your solutions reliable, stable, and efficient.
Table of Contents (32 chapters)
1
Part 1: PaaS and Containers
8
Part 2: Serverless and Reactive Architecture
14
Part 3: Storage, Messaging, and Monitoring
22
Part 4: Performance, Scalability, and Maintainability

Real-Time Data Analysis – Azure Stream Analytics

While some Azure components enable us to deliver data to the cloud, in most cases we also need something that is designed for analyzing and querying streamed data. One such service is Azure Stream Analytics, a real-time data analysis tool that can read all messages sent through – for example—Event Hubs, and transform and save them using one of the predefined outputs. This chapter is structured in a way that will help you start with the analysis of streamed data and should help in getting things done properly.

The following topics will be covered in this chapter:

  • Introducing Azure Stream Analytics
  • Defining available input and output types
  • Querying data using theAzure Stream Analytics query language
  • Event ordering, checkpoints, and replays
  • Common query patterns