Data Engineering. 3 credits, 4 contact hours

Catalog description

Prerequisites: SDET 102 . This course builds upon the fundamentals learned in SDET 102 by delving into the field of data engineering. Students will explore the full lifecycle of large-scale data handling, from modeling and management to real-time processing and warehousing. They will master the art and science of designing robust Extraction, Transformation, and Loading (ETL) pipelines, ensuring data quality and governance, and leveraging modern big data technologies. Through practical exercises and capstone projects, students will apply theoretical concepts to real-world challenges, implementing data solutions that adhere to the highest standards of security and privacy. They will also explore the use of cloud data services, gaining proficiency with major cloud platforms.