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.

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.

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.