Azure Data Engineering
Master cloud-native data solutions using Azure Cosmos DB, SQL, and Synapse. Learn to design, query, optimize, and monitor scalable pipelines for real-time analytics and business impact—ideal for data engineers and architects.
Overview
This course includes:
- 1 hour 10 minutes of on-demand video
- Certificate of completion
- Direct access/chat with the instructor
- 100% self-paced online
Unlock the power of Azure Data Engineering and transform the way you manage data in the cloud. In this focused 90-minute 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.
By the end of this course, you'll be equipped with the practical skills needed to build modern, cloud-native data platforms that drive business-ready outcomes.
Skills You Will Gain
Learning Outcomes (At The End Of This Program, You Will Be Able To...)
- Choose appropriate data storage and processing solutions for a given business requirement.
- Design performant queries for Cosmos DB and Azure SQL.
- Integrate Synapse Analytics to enable real-time and batch analytics.
- Apply optimization techniques and monitoring strategies across Azure data services.
Prerequisites
Familiarity with SQL, basic cloud concepts, and data pipeline architecture.
Who Should Attend
This course is ideal for data engineers working on Azure-based projects, solution architects aiming to design optimized data systems, and BI developers transitioning to cloud-native platforms. It also benefits DevOps engineers and SREs who support data pipelines and analytics workloads, offering them the tools and techniques needed to build scalable, efficient, and modern data solutions on Azure.
