New Training: Describe Relational Azure Data Services

In this 8-video skill, CBT Nuggets trainer Ben Finkel takes you on a high-level tour of the various relational database offerings on the Azure public cloud service and discuss the pros and cons of the different services. Watch this new Azure training.

Learn Azure with one of these courses:

• Working with Relational Data on Azure

• Microsoft Azure Data Fundamentals

This training includes:

• 8 videos

• 50 minutes of training

You’ll learn these topics in this skill:

• Describe Relational Azure Data Services

• Comparing IaaS, PaaS, and SaaS

• Understanding Azure SQL Database

• SQL Server on Azure Virtual Machines

• Azure SQL Managed Instance

• Azure Database MySQL, MariaDB, and PostgreSQL

• Azure Synapse Analytics

• Review Relational Azure Data Services

What Different Relational Databases Can Be Used With Azure?

Azure is Microsoft’s cloud computing service, and it provides all the support you need to build, test, deploy and manage your applications and services with no on-premises equipment. But its usefulness is a double-edged sword. Microsoft Azure has many different options and services available to maximize your app delivery and development, but that means it’s also not a one-size-fits-all solution.

That’s particularly true with databases and Azure. Azure currently offers nine different database services. Of those, only six are relational databases.

Azure SQL Database is an enterprise-class supplier of serverless compute and hyperscale storage with AI/ML functionality. With Azure SQL Managed Instance, you can migrate your SQL workloads to Azure and not lose any SQL Server compatibility. SQL Server on Virtual Machines gives you the ability to maintain your OS system-level accesses and not lose any SQL Server compatibility.

Azure Database for PostgreSQL is best if you need support for the open source PostgreSQL. Azure Database for MySQL is ideal for the MySQL mobile and web workload delivery. And Azure Database for MariaDB supports high availability and elastic scaling for MariaDB databases.