This specialization provides a structured learning journey for data engineers, focusing on the foundational principles of data engineering and AWS storage solutions. The first course in the path establishes a strong base in data modeling, S3, and foundational analytics concepts. The next stage dives into AWS Redshift, covering infrastructure, performance, and security in depth. The final course in this specialization explores modern data governance and analytics on AWS, integrating tools like Glue, Lake Formation, and Athena. Together, these courses equip learners with the skills to design, secure, and optimize data platforms for analytical workloads, aligning with industry best practices and AWS cloud architecture standards.
This specialization is based on the course, Data Engineering on AWS Vol 1 - OLAP & Data Warehouse, 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.
