This specialization is designed for data engineers, solution architects, and technical managers with foundational knowledge of Azure and Spark. The first course in the path introduces the Microsoft Fabric platform, covering workspace setup, data connections, and pipeline orchestration using tools like Fabric Data Factory and Apache Airflow. The next stage deepens expertise with advanced data engineering techniques, focusing on Lakehouse architecture, Spark integration, and data warehouse management. The final course in this specialization builds on these foundations by exploring real-time analytics, security practices, and exam preparation for the DP-700 certification. Learners will gain a comprehensive understanding of Fabric's capabilities, from initial setup to advanced implementation and certification readiness.
This specialization is based on the course, Azure Fabric Data Engineer CERT (DP-700) + PRACTICE QNS, by Soumyadeep Dey.
Applied Learning Project
Applied practice activities integrated throughout the courses provide structured opportunities for learners to apply key concepts and methods in realistic contexts. Through guided analysis, reflection, and skill application, participants engage with authentic challenges aligned to the subject matter and develop practical competence in solving domain-relevant problems.

















