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

Common query patterns

Many patterns can be used with Azure Stream Analytics, and it is impossible to include them all in this book. However, we will try to cover the most common ones and describe them in terms of syntax.

Multiple outputs

It is possible to read data from the same input and push it to multiple outputs at the same time, as illustrated in the following code snippet:

SELECT
     *
INTO
     Output1
FROM
     Input TIMESTAMP BY Time
SELECT
     Column1,
     Column2
INTO
     Output2
FROM
     Input TIMESTAMP BY Time
GROUP BY
     Column1

As you can see, that pattern is quite simple as it only requires you to put two SELECT statements in the same query. Azure Stream Analytics takes care of proper processing and distinguishing the streams.

Data aggregation over time

One of the most popular patterns...