
Big Data Engineering COMP 9794
Our Big Data Engineering course provides a comprehensive foundation in the principles, techniques, and technologies required to process and store large-scale datasets. Learn how to design and implement scalable data engineering solutions while addressing the unique challenges of handling massive, volatile, and diverse data sources. Explore key technologies such as NoSQL databases and the MapReduce framework for high-volume batch processing, and study real-time data processing, in-memory storage, and cutting-edge engineering mechanisms that enhance performance and scalability in big data environments.
This course has been designed and developed by George Brown College Continuing Education in partnership with Arcitura.
Prerequisites
You must have completed our COMP 9792 Introduction to Big Data Science and Analytics course.
Additional Information
Exam Policies:
This course includes an exam voucher, which entitles you to one attempt at the Arcitura Big Data Engineer Certification exam. To request an exam voucher, you must contact the Program Co-ordinator, Olena Gubych, at olena.gubych@georgebrown.ca within your course section dates. The exam will be administered online through Pearson Vue or Arcitura. You will have 110 minutes to complete the exam. (The exam structure and duration is subject to change without notice.) At the exam, you must present photo identification.
Hours and Fees
Hours
Fee
Course Sections
- Contact Information
- Contact:
- Technology Department
- Email:
- cetechnology@georgebrown.ca
- Phone:
- Office Location(s):
Read about our textbooks policy, and remember that the Continuing Education attendance policy and closure dates differ from those for full-time college programs.


