Azure Databases and Azure Functions
Learn about the Azure databases and the Azure Functions applications.
We'll cover the following...
Introduction
Azure databases are an essential component of PaaS infrastructure. Azure offers a wide range of Azure databases. Some common examples are Azure SQL Database, Azure Cosmos DB, MongoDB, and Postgres DB. Azure offers solutions like key-value storage, real-time processing, and batch processing.
Database workloads
With the increase in demand, more resources are required to make sure these demands are met. Application design patterns are changing, as well as adding data processing techniques.
Automation takes time to implement, but once it’s done, it reduces human effort. Once the processes are automated, we can just let the computer do all those heavy processes. An example of automation includes data pipelines that store data and build pipelines to deploy the codes automatically.
These changes have allowed users to move their data workloads from traditional relational database management system (RDBMS) models to big data models.
Why do we move to these big data workloads? These workloads can handle large volumes of data that are too large or complex. They can also easily handle unstructured or semi-structured datasets.
Azure database services
Let’s see the different types of Azure database services:
Azure SQL Database
Azure SQL Database is a PaaS solution that offers relational database capabilities. It can be the right choice for us if we’re working on applications that enable us to process both relational data and non-relational structures, such as graphs, JSON, and XML.
In Azure SQL Databases, we can integrate Entra ID and multi-factor authentication. Microsoft manages all the patches and updates for SQL versioning, and we don’t need to worry about anything.
It has several options available, some of which are as follows:
- SQL Server on Azure VMs