Book Image

Azure for Developers. - Second Edition

By : Kamil Mrzygłód
Book Image

Azure for Developers. - Second Edition

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)
Part 1: PaaS and Containers
Part 2: Serverless and Reactive Architecture
Part 3: Storage, Messaging, and Monitoring
Part 4: Performance, Scalability, and Maintainability

Linguistic analysis in a full-text search

When doing a full-text search, you have to understand what the rules are for performing such an operation. Search engines must analyze search queries lexically to be able to extract important information and pass it to a query tree. In this section, we will cover the most common lexical analysis, which is linguistic analysis, to help you understand how Azure Search works and how to perform correct queries.

Analyzers in Azure Cognitive Search

To perform linguistic analysis, Azure Search supports a variety of different analyzers, which can be specified in the index definition. However, before we start defining one of those, we need a brief overview of what we are talking about. When creating an index, each search service must analyze all input documents and decide what will be important when performing a search procedure.

Additionally, each search query should be adjusted to some common rules so that the search engine can understand...