Overview

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Build a strong foundation in Microsoft Azure data services and develop the knowledge needed to understand, manage, and analyze data in the cloud. In this course, you will explore core data concepts, including relational and non-relational data, database management systems, SQL fundamentals, and Azure data solutions. Designed for beginners, aspiring data professionals, IT learners, and anyone preparing for the Microsoft DP-900 certification exam, this course guides you through Azure SQL Database, Azure Cosmos DB, Azure Data Factory, and Power BI. You will learn how different data models support business needs, compare Azure database deployment options, work with SQL queries and database objects, manage non-relational data, and understand modern data integration and analytics workflows. Through structured lessons, demonstrations, and quizzes, you will build practical knowledge of data storage, normalization, data warehousing, data pipelines, and business intelligence visualization. By the end of the course, you will be able to identify appropriate Azure data solutions for different scenarios, explain the capabilities of Microsoft Azure data services, and visualize data insights using Power BI. Whether your goal is to strengthen your cloud data fundamentals or prepare for the Microsoft DP-900 certification, this course provides a structured pathway to understanding Azure's modern data ecosystem.

Syllabus

Introduction to Data Fundamentals and Core Concepts

This module introduces learners to foundational data concepts crucial for understanding how data is represented, stored, processed, and structured within modern cloud environments, particularly in the context of Microsoft Azure. It lays the groundwork by exploring types of data, data storage options, and common data workloads. It also introduces the principles of relational databases, including the importance of normalization and the application of structured data systems. The module is ideal for beginners seeking to build a conceptual understanding of core data operations that underpin database technologies and data-driven solutions.

Working with Relational Databases in Azure

This module explores how relational databases operate within the Microsoft Azure environment. Learners will discover how to write basic SQL queries, build reusable database components like views and stored procedures, and optimize performance through indexing. The module also introduces key relational database options offered by Azure, including deployment models (IaaS and PaaS), provisioning processes, security configurations such as firewall rules, and query tools like the built-in query editor. By the end, learners will understand both the conceptual and practical aspects of working with Azure-hosted relational databases.

NoSQL and Non-Relational Data in Azure

This module introduces learners to the fundamentals of non-relational databases and how they are implemented using Azure Cosmos DB. It covers the variety of NoSQL models including document, key-value, graph, and column-family, helping learners choose the right data structure for specific application needs. The module also guides learners through the capabilities of Azure Cosmos DB such as API support, data creation, querying, geo-replication, and security. By the end of this module, learners will understand the architecture and practical management of non-relational data solutions in Azure.

Data Integration, Analytics, and Visualization

This module introduces the core concepts of data integration, modern analytics, and data visualization within Microsoft Azure. Learners explore how data is processed and transformed through Azure Data Factory, stored in modern data warehouses, and visualized using tools such as Power BI. The module emphasizes the value of transforming raw data into actionable insights through automated pipelines and business intelligence dashboards, preparing learners to implement end-to-end data solutions in the Azure ecosystem.