- International Fees
International fees are typically 3.12 times the domestic tuition. Exact cost will be calculated upon completion of registration.
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. 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 will use a variety of technologies and will learn about different big data systems including AWS Academy Data Analytics. Students conduct a big data analysis with practical, real-world examples and focus on how to analyze vast data sets using a case-study approach. Topics include an overview of different data stores, querying data with visualizations, and a deep-dive of Extract, Transform and Load (ETL) process in the data warehouse. BCIT Computing is an AWS Academy partner; A discount voucher for the AWS Certified Data Analytics–Specialty exam will be provided to those who pass this course. 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
Domestic fees
$397.39
Learning Outcomes
Upon successful completion of this course, the student will be able to:
- Describe big data analytical concepts.
- Ingest, store, and secure data.
- Query 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 Fall 2021
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 with a co-op option.
School of Computing and Academic Studies
- Applied Data Analytics
Certificate Part-time
- Computer Systems
Diploma Part-time
Course Offerings
Fall 2024
Below is one offering of COMP 3841 for the Fall 2024 term.
CRN 48566
Dates
Wed Nov 06 - Wed Dec 11
- 6 weeks
- CRN 48566
- Domestic fees $397.39
Status
Cancelled
This course offering has been cancelled. Please check back next term, subscribe to receive email updates or contact us with your comments or questions.
Class meeting times
| Dates | Days | Times | Locations |
|---|---|---|---|
| Nov 06 - Dec 11 | Wed | 18:00 - 21:00 | Online |
Instructor
TBD
Course outline
Course outline TBD — see Learning Outcomes in the interim.
Important information
- Internet delivery format.
- Departmental approval needed
- Important course information will be sent to you prior to your course start date. Check your myBCIT email account to access this information.
- International fees are typically 3.12 times the domestic tuition. Exact cost will be calculated upon completion of registration.
- 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 synchronous online classes. BCIT Computing is primarily a Microsoft Windows environment. Students must provide their own current model Windows-compatible PC. 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.
Programs and courses are subject to change without notice.