Unlock the power of Azure Data Engineering and transform the way you manage data in the cloud. In this focused course, you'll explore how to architect, build, and optimize scalable data solutions using Cosmos DB, Azure SQL, and Synapse Analytics. The course combines real-world scenarios with hands-on learning to guide you through choosing the right data store, writing optimized queries, and creating impactful analytical dashboards. 

This course is designed for data professionals working with Azure-based systems, including data engineers, solution architects, BI developers, and DevOps or site reliability engineers (SREs). Whether you're building modern data platforms, designing optimized architectures, or supporting analytics workloads, this course provides the tools and insights needed to thrive in a cloud-native data environment. To get the most out of this course, learners should have a working knowledge of SQL, a foundational understanding of cloud computing concepts, and familiarity with data pipeline architecture. These prerequisites ensure you can fully engage with the technical content and apply the strategies covered in real-world scenarios. By the end of the course, learners will be able to select the right data storage and processing technologies for specific business needs, write high-performance queries in Cosmos DB and Azure SQL, and leverage Synapse Analytics for both real-time and batch analytics. Additionally, you'll gain the skills to apply optimization and monitoring best practices across Azure data services for efficient, scalable solutions.