Course Overview
Continuing on from COMP 1630, this hands-on course is a primer for data warehouse and data analytics with Big Data. Students must already understand industry standards in data modelling, relational database design and creating reports with SQL. COMP 3841 begins with an exploration of different Big Data systems. Participants must provide their own current model Windows capable PC, i5 or higher equivalent processor, 8 GB of RAM minimum, and 256 GB minimum storage. High-speed internet access is needed for online sections and for homework. Labs and assignments use a web browser to access course content. Exercises focus on data ingestion, data extraction, data transformation, accessing/querying data, and data visualization. Students conduct a big data analysis with practical, real-world examples and focus on how to populate and analyze vast data sets using a case-study approach. Topics include an overview of different data stores, querying data with visualizations, and an overview of Extract, Transform and Load (ETL) process in the data warehouse. COMP 3841 is a required course in the Applied Data Analytics Certificate (ADAC) and an elective in the Computer Systems Technology (CST FLEX) Diploma. Upon completion, successful students will be able to leverage and maintain a large-scale data warehouse for Business Intelligence.
Prerequisite(s)
- 60% in COMP 1630
Credits
1.5
Registration requirements
Departmental approval is required to register for this course. You must have approval from the department to register. Students accepted into a program can register directly.
Domestic fees
$448.89
International fees are typically 3.4 times the domestic tuition. Exact cost will be calculated upon completion of registration.
Learning Outcomes
Upon successful completion of this course, the student will be able to:
- Describe big data analytical concepts.
- Ingest, store, and secure data.
- Populate data stores with manual and automatic schema detection.
- Automate loading data into a data warehouse.
- Load and query data in a data warehouse.
- Visualize structured and unstructured data.
Effective as of Winter 2025
Related Programs
Introduction to Data Warehouses with Big Data (COMP 3841) is offered as a part of the following programs:
- Indicates programs accepting international students.
- Indicates programs eligible for students to apply for Post-graduation Work Permit (PGWP).
School of Computing and Academic Studies
- Applied Data Analytics
Certificate Part-time
- Computer Systems
Diploma Part-time
Course Offerings
Fall 2026
Below is one offering of COMP 3841 for the Fall 2026 term.
CRN 48566
Dates
Sep 12 - Oct 24 Loading
- CRN 48566
- $448.89 Domestic fees
Class meeting times
| Dates | Days | Times | Locations |
|---|---|---|---|
| Sep 12 - Oct 24 | Sat | 13:00 - 16:00 | Burnaby SE12 Rm. 320 |
Duration
6 weeks
Instructor
Mike Mulder
Course outline
Course outline TBD — see Learning Outcomes in the interim.
Important information
- Please email cstflex@bcit.ca for Departmental approval. Include your Student number (A0#) and COMP__ and preferred CRN __ and Program Declaration____. Course is 18 hours on campus. BCIT Computing is primarily a Microsoft Windows environment. Students must provide their own current model Windows-compatible PC with microphone and video camera. i5 or higher equivalent processor, with 8 GB of RAM minimum, and 256 GB minimum storage. Highspeed internet access is needed for online sections and for homework. Mac users must have the ability to manage and support their iOS computer. They may need to create a virtual Windows environment using Parallels or VMWare Fusion. COMP instructors may not be able to assist Mac users with software compatibility issues. BCIT does not provide access to Parallels or support for students to use a Mac to run Windows. Late registration is not permitted. No class October 10 (Thanksgiving).
Confirmation
Required
To proceed with registration and add this course to the cart, please confirm:
No approval yet? Request approval You must have approval from the department to register. Students accepted into a program can register directly.
Status
If you have any questions about this course, please contact us.
Programs and courses are subject to change without notice. Find out more about BCIT course cancellations.