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  1. Courses
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  3. Azure Data Engineering

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.

Christopher Klaus
Christopher Klaus
Networking | intermediate | 1 hour 10 minutes |   Published: Jul 2025
In partnership with: Coursera

    Discussions

Overview

1kSTUDENTS*
98.25RECOMMEND*

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

Azure Data Engineering
Azure SQL
Data Pipelines
NoSQL
Data Optimization

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.

Curriculum

Instructors

Frequently Asked Questions

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

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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.
1Module 01: Getting Started with Azure Data Engineering
2Querying and Modeling with Cosmos DB and Azure SQL
3Building Scalable Analytics with Synapse

Segment 01: Introduction

Segment 02: Azure Data Services Overview - Update 2

Segment 03: Is Cosmos the Right Data Store - Update 2

Segment 04: Case Study Intelligent Product Search Architecture

Segment 08: What is Azure Synapse Analytics

Segment 09: Integrating Data Sources into Synapse-

Segment 10: Running Batch Queries and Reports with Synapse Studio

Segment 11: Monitoring and Cost Optimization on Azure

Segment 12: Congratulations and Continuous Learning Journey”

Segment 05: SQL vs NoSQL Data Modeling

Segment 06: Demo Modeling Product Data in Cosmos DB

Segment 07: Query Performance in Azure SQL

Christopher Klaus

Christopher Klaus

Navigating the intersection of data science, technology innovation, and leadership, Christopher has established a distinguished career spanning diverse sectors, including software, government, healthcare, education, and advertising. As a leader and innovator, Christopher is driven by a passion for solving complex challenges and leveraging technology to drive meaningful advancements. At the core of Christopher’s professional ethos is the commitment to unlocking potential—both in the technologies utilized and the teams led.

With expertise in data analytics, governance, engineering, and cloud technologies, Christopher has been at the forefront of deploying advanced solutions that foster strategic growth and operational excellence. Proficient in AWS, GCP, and Azure, and deeply engaged in AI and machine learning applications, Christopher consistently pioneers transformative projects that push the boundaries of technological innovation. Beyond technical achievements, Christopher cultivates environments where teams can thrive, fostering collaboration and continuous improvement.

Education and mentorship play a fundamental role in Christopher’s leadership philosophy. Through knowledge sharing, the development of educational programs, and contributions to scholarly publications, Christopher actively nurtures a culture of learning and innovation. Recognized through various honors and awards, Christopher’s contributions extend beyond personal milestones, shaping communities and setting new benchmarks in the tech industry. Each day presents an opportunity to inspire change, drive progress, and pave the way for future generations of innovators.

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