Data Engineering & Scalable Systems

Catalog description

This course explores the principles and practices of data engineering, focusing on the design, implementation, and optimization of scalable systems for large-scale data processing. Students will learn how to construct robust data pipelines, manage distributed systems, and leverage modern database technologies to handle complex data workflows. Key tools and frameworks such as Apache Kafka, Apache Spark, and NoSQL databases will be covered, equipping students with the skills to manage data efficiently in real-world applications. Through hands-on projects and case studies, students will gain practical experience in building scalable and resilient data systems for diverse organizational needs.