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Introduction to Data Warehouses with Big Data COMP 3841

Computer Systems Course

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International Fees

International fees are typically three times the amount of domestic fees. Exact cost will be calculated upon completion of registration.

Course details

​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)

Credits

1.5

Domestic fees

$389.41

Course offerings

Winter 2024

Below are two offerings of COMP 3841 for the Winter 2024 term.

CRN 89512

Duration

Wed Jan 10 - Wed Feb 14 (6 weeks)

  • 6 weeks
  • CRN 89512
  • Domestic fees $389.41
    International fees are typically three times the amount of domestic fees.
Class meeting times
Dates Days Times Locations
Jan 10 - Feb 14 Wed 18:00 - 21:00 Online
Instructor

Justine Fox

Course outline

Course outline TBD — see Learning Outcomes in the interim.

Domestic fees

$389.41

Important information
  1. Internet delivery format.
  2. Departmental approval needed
  3. Important course information will be sent to you prior to your course start date. Check your myBCIT email account to access this information.
  4. International fees are typically three times the amount of domestic fees. Exact cost will be calculated upon completion of registration.
  5. 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. Late registration is not permitted.
Status

CRN 89513

Duration

Wed Feb 21 - Wed Mar 27 (6 weeks)

  • 6 weeks
  • CRN 89513
  • Domestic fees $389.41
    International fees are typically three times the amount of domestic fees.
Class meeting times
Dates Days Times Locations
Feb 21 - Mar 27 Wed 18:00 - 21:00 Online
Instructor

Justine Fox

Course outline

Course outline TBD — see Learning Outcomes in the interim.

Domestic fees

$389.41

Important information
  1. Internet delivery format.
  2. Departmental approval needed
  3. Important course information will be sent to you prior to your course start date. Check your myBCIT email account to access this information.
  4. International fees are typically three times the amount of domestic fees. Exact cost will be calculated upon completion of registration.
  5. 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. Late registration is not permitted.
Status

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:

School of Computing and Academic Studies

  1. Applied Data Analytics
    Certificate Part-time
  2. Computer Systems
    Diploma Part-time

Contact Us

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  • Privacy Notice: The information you provide will be used to respond your request for BCIT course information and is collected under Section 26(c) of the Freedom of Information and Protection of Privacy Act (FIPPA). For more information about BCIT’s privacy practices contact: Associate Director, Privacy, Information Access & Policy Management, British Columbia Institute of Technology, 3700 Willingdon Ave. Burnaby, BC V5A 3H2, email: privacy@bcit.ca.

Programs and courses are subject to change without notice.