DLSEI 3.0 Cohort 3 registration has been closed.

Microsoft Azure Relational Databases

Included with DLSEI 3.0

Guided Project

Learn, practice, and apply job-ready skills with expert guidance

4.52★

Rating out of 5

Guided project Level

Recommended experience

3.00 Hours

Learn at your own pace

Information Technology

Domain

About this guided project

In this 2-hour long tutorial, you will learn how to create, and configure a Microsoft Azure Database for MySQL server and database. We will do this by walking through the process of creating a free trial subscription on Azure, logging in and getting familiar with the Azure Portal. We will create a Resource Group in preparation for creating the Azure database and then step through the process of configuring and deploying an Azure Database for MySQL server. From here we will connect securely to the cloud based server and create a new database. We will then populate the database with some sample data, query and update the data using the MySQL command line tool. Once complete we will restore the database to a point in time using the Azure restore database process and finally clean up unused resources keeping costs to a minimum. The skills learned in this guided project provide the foundation to understanding and implementing Azure Relational Databases specifically in relation to MySQL which is a fully managed database offering from Microsoft Azure. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions. If you enjoy this project, we recommend taking the Microsoft Azure Data Fundamentals DP-900 Exam Prep Specialization: https://www.coursera.org/specializations/microsoft-azure-dp-900-data-fundamentals

What skills will you gain?

Cloud Platforms

Cloud Services

Database Management

MySQL

Cloud Computing

Relational Databases

Database Management Systems

SQL

Cloud Solutions

Database Development

Microsoft Azure

Database Architecture and Administration

Database Systems

Database Administration