DP‑900 Azure Data Fundamentals – Complete Guide

This course is designed to help learners build a strong foundation in data concepts and Azure data services, aligned with the DP‑900: Microsoft Azure Data Fundamentals certification. It is ideal for beginners who want to understand how data is stored, processed, and analyzed in the Azure ecosystem.

The course begins with fundamental data concepts, introducing different types of data, data processing workloads, and common data roles such as database administrators, data engineers, and data analysts. You will understand how data services are used across modern applications.

Next, the course explores relational data fundamentals in Azure, covering structured data concepts, tables, rows, columns, and relationships. You will learn how relational data is managed using Azure services and when relational models are the right choice.

As you progress, the course introduces non‑relational (NoSQL) data fundamentals, explaining key‑value, document, column‑family, and graph data models. You will understand scenarios where non‑relational data is more suitable and how Azure supports these workloads.

The course then moves into data analytics fundamentals, explaining analytical workloads, data ingestion, transformation, and visualization concepts. You will learn how organizations derive insights from data.

Finally, the course covers large‑scale data analytics, introducing big data concepts and modern analytics architectures in Azure. By the end of the course, learners will have a clear understanding of Azure data fundamentals and be well‑prepared for the DP‑900 exam. Practice tests are included to validate learning.