What you'll learn:
- Understand types of core data workloads and data analytics core concepts
- Understand how to work with relational data on Azure, including Azure SQL Database and Managed Instance
- Understand how to work with non-relational data on Azure, including Cosmos DB APIs, Table, Blob and File storage
- Describe analytics workloads, including data warehouses, data ingestion and processing on Azure
- Describe data visualization in Microsoft Power BI, including reports and dashboards
This course is the foundation for the Microsoft Certificate DP-900 "Azure Data Fundamentals", and focuses on relational and non-relational data, together with analytics workloads. It is updated in line with the exam updates as of the minor updates as of 1 November 2024 and 1 November 2025.
Please note:This course is not affiliated with, endorsed by, or sponsored by Microsoft.
What do people like you say about this course?
Girma says: "Great! – Azure would never be difficult (as most of us think) after thoroughly going through this course."
Ankona says:"Very good course. Philip proves why is indeed the go to guy for everything to do with databases. I have taken a couple of his courses on various aspects of databases and he never disappoints."
Karen says:"This course helped me to clear the exam with 903."
We'll start off with looking at relational data. We'll create an Azure account, install an Azure SQLDatabase and query it. We'll then look at the 6 different clauses of the SELECT statement - SELECT, FROM, WHERE, GROUP BY, HAVING and ORDER BY. After this, we'll have a look at other relational databases, including Azure Databases for PostgreSQL, MariaDB and MySQL.
After that, we'll look at non-relational data using semi-structured and non-structured data. We'll look at the five different Cosmos DBdatabase interfaces or APIs, and which one you should use for your particular needs. We'll also look at Table, Blob and File storage.
We'll then look at analytics workloads, including Azure data services for modern data warehouses such as Azure Data Lake, Synapse Analytics, Databricks and HDInsight.
Finally, we'll look at Microsoft Power BI and how to create basic reports and dashboards.
No prior knowledge is required - we'll even see how to get a free Azure trial!
There are regular quizzes to help you remember the information, so you can be sure that you are learning.
Once you have finished this course, you will have a good introductory knowledge of core data concepts and how they are implemented using Microsoft Azure data services. And with some practice, you could even go for an official Microsoft certification - wouldn't that look good on your CVor resume? And if you are an American college student, you might even get college credit for passing that exam.
