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

Indexing in Azure Cognitive Search

An index is one of the most important constructs in Azure Search. We defined it as a table that contains all imported documents with searchable data defined in it. At the beginning of this chapter, we learned how to create it and add or edit fields. In this section, we will learn a bit more about modifying it, as an index is not a fixed being and can be altered and adjusted to your needs.

Importing more data

There is always a need to push more data to your index – your application grows, the storage of your documents becomes bigger and bigger, especially if you are creating a document repository, and you would like to be able to find what you are searching for even in the most recent documents. However, there are two options to add data to your index:

  • The push model
  • The pull model

We will cover both these models in the following sections.

The push model

The push model is the best solution for applications that...