Microsoft AZURE: Database Services on Cloud
We would learn SQL Database, CosmosDB, and Data warehouse with practical exercises and projects
Updated on Jun, 2025
Language - English
Development ,Database and Design Development,Microsoft
Lectures -18
Duration -1.5 hours
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Course Description
In this course, we will explore various databases and services available on the Microsoft Azure cloud platform. The course is divided into multiple sections, and we will be learning three database services- SQL Database, CosmosDB and Data Warehouse.
With SQL Database, we could create a Relational, SQL-based database where we can create, read, update, and delete (CRUD) data values arranged in rows and columns in form tables. With CosmosDB we can create multiple kinds of No SQL databases- documents, key values, columns, and graphs that are highly elastic, distributed and scalable.
With Data Warehouse we could keep our structured, semi-structured data on the cloud. We would be learning concepts with practical exercises and projects on CosmosDB and SQL Database. We would also learn about the Azure Command line interface (CLI).
Goals
- In this course, we would explore various Database services available on Microsoft Azure cloud.
- We would learn SQL Database, CosmosDB, and Data warehouse with practical exercises and projects.
Prerequisites
- A basic understanding of DBMS/Database concepts would be more than sufficient.
Curriculum
Check out the detailed breakdown of what’s inside the course
Cloud Databases
4 Lectures
-
SQL Database
10:10
10:10
-
CosmosDB
06:02
06:02
-
CosmosDB- Create an Instance
01:58
01:58
-
CosmosDB- Exploring Options
02:42
02:42
Data Warehouse
3 Lectures
PROJECT: CosmosDB
2 Lectures
PROJECT: SQL Database
4 Lectures
Azure CLI- Command Line Interface
4 Lectures
Instructor Details
Pranjal Srivastava
I am an Instructor, Devops engineer, machine learning enthusiast, cloud expert and passionate developer.
I have authored 78 courses with over 115,000 students worldwide across 175+ countries on wide array of technologies like devops, containerization, machine learning, Linux, programming languages and cloud computing platforms like Microsoft Azure, Amazon Web Service and IBM Cloud.
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