Azure Data Engineering: Cosmos DB, SQL & Analytics

Build scalable, cloud-native data solutions on Azure. In this hands-on course, learn to choose the right data stores, optimize queries, and run analytics using Cosmos DB, Azure SQL, and Synapse Analytics for real business use cases.

Christopher Klaus
Published: Jan 2026
Intermediate
Cloud
3 hours 30 minutes
In partnership with:Coursera
Azure Data Engineering: Cosmos DB, SQL & Analytics

Course Overview

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.

Skills You Will Gain

Azure
Azure SQL
SQL
Azure Data Engineering
Analytics
Cosmos DB

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

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.

Who Should Attend

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.

Course Includes

1.5K
STUDENTS*
92.1%
RECOMMEND*

This course includes:

  • On-demand videos
  • Practice assessments
  • Multiple hands-on learning activities
  • Exposure to a real-world project
  • 100% self-paced learning opportunities
  • Certification of completion

Curriculum

Explore the comprehensive, hands-on curriculum designed to build your expertise step by step.

Meet Your Expert Instructors

Frequently Asked Questions

How much do the courses at Starweaver cost?

We offer flexible payment options to make learning accessible for everyone. With our Pay-As-You-Go plan, you can pay for each course individually. Alternatively, our Subscription-Based plan provides you with unlimited access to all courses for a monthly or yearly fee.

Do you offer any certifications upon completion of a course at Starweaver?

Yes, we do offer a certification upon completion of our course to showcase your newly acquired skills and expertise.

Does Starweaver offer any free courses or trials?

No, we don't offer any free courses, but we do offer 5-day trial only on our subscriptions-based plans.

Are Starweaver's courses designed for beginners or advanced students?

Our course is designed with three levels to cater to your learning needs - Core, Intermediate, and Advanced. You can choose the level that best suits your knowledge and skillset to enhance your learning experience.

What payment options are available for Starweaver courses?

We accept various payment methods such as major credit cards, PayPal, wire transfer, and company purchase orders. For more information related to payments contact customer support.

Do you offer refunds?

Yes, we do offer a 100% refund guarantee for our courses within a specified time frame. If you are not satisfied with the course, contact our customer support team to request a refund with your order details. Some restrictions may apply.

*Where courses have been offered multiple times, the “# Students” includes all students who have enrolled. The “%Recommended” shown is also based on this data.