- International Fees
International fees are typically three times the amount of domestic fees. Exact cost will be calculated upon completion of registration.
Course details
This hands-on course has replaced COMP 4679 and follows on from COMP 1630 and COMP 2156. Participants must already understand relational database design, data modeling, SQL programming and the basics of MS PowerBI. COMP 3679 begins with an overview of Business Intelligence (BI) tools, then MS SQL Server Analysis Services (SSAS) is discussed to provide additional BI concepts. Students are introduced to cloud computing using Microsoft Azure Cloud Services and explore business intelligence platforms. They review best practices to author, deploy and manage reports using MS Power BI on Azure. COMP 3679 topics include BI platforms, the Data Warehouse (DW) Lifecycle and data modelling concepts with Star, and Snowflake schemas and using Azure Data on the cloud. MS Azure data analytics concepts will be discussed. Labs and exercises show how to use Azure tools to extract the data from its multiple collections of data sources. Power BI Report Server (PBIRS) will also be discussed to show analysts and developers how to use various reporting options in a unified approach for on-premises installations. There will be a focus on best practices to implement data pipelines and data loading using Azure Data Factory (ADF) and Azure SQL. COMP 3679 is an elective in the Applied Database Administration and Design (ADAD) Associate Certificate; the Applied Data Analytics Certificate (ADAC) and the Computer Systems Technology (CST FLEX) Diploma. Upon successful completion, students will be able to extract data from multiple sources, apply best practices to author, deploy and manage significant Business Intellgience reports integrated with MS PowerBI. This course will be offered starting April 2024.
Credits
4.0
Domestic fees
$582.30
Course offerings
Spring/Summer 2024
Below is one offering of COMP 3679 for the Spring/Summer 2024 term.
CRN 69293
Duration
Fri May 10 - Fri Jul 26 (12 weeks)
- 12 weeks
- CRN 69293
- Domestic fees $582.30International fees are typically three times the amount of domestic fees.
Class meeting times
| Dates | Days | Times | Locations |
|---|---|---|---|
| May 10 - Jul 26 | Fri | 18:00 - 21:00 | Online |
| May 10 - Jul 26 | N/A | N/A | Online |
Instructor
Saber Talazadeh
Course outline
Course outline TBD — see Learning Outcomes in the interim.
Domestic fees
$582.30
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 three times the amount of domestic fees. 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 48 hours - 36 hours synchronous online classes and 12 hours asynchronous activities/labs. This class meets once per week for 3 hours online and requires an additional 1 hour per week asynchronously. Participation online via the BCIT Learning Hub and attendance are mandatory during scheduled class hours plus online activities for a minimum of 4 hours per week. Most students should also plan for 9+ hours reading and homework each week, for a total commitment of 13 hours per week. With class time, this course is a total time commitment of 150 hours. Some students may need to spend more time on homework and assignments. Participants must provide their own current model PC device with microphone and video camera. A minimum of an i5 or equivalent processor, 8 GB of RAM, 256 GB storage and high-speed internet access are required. Students will be provided with a limited amount of server and data access outside of class each week for the course duration. Late registration is not permitted.
Status
Full
This course offering is full. Please check back next term, subscribe to receive email updates or contact us with your comments or questions.
Learning Outcomes
Upon successful completion of this course, the student will be able to:
- Discuss Business Intelligence (BI) platforms.
- Describe the typical data warehouse lifecycle.
- Design Dimensions and Measures for data warehouse.
- Review relational database and data warehouse modeling concepts, including Star and Snowflake schemas.
- Describe Azure cloud computing basics and Azure data.
- Define Azure data analytics concepts.
- Explain the Azure ecosystem including SQL Azure Reporting.
- Design, implement and manage data pipelines using Azure Data Factory (ADF) and Azure SQL.
- Describe PowerBI Report Server (PBIRS).
- Integrate PowerBI with Azure Services.
- Design effective, and scalable data models in PowerBI.
- Implement Power BI integration with MS Azure.
- Describe Online Analytical Processing (OLAP) using Azure Analysis Services.
- Create and maintain Azure Analysis Services.
Effective as of Spring/Summer 2024
Related Programs
MS Azure and SQL Analytics Tools (COMP 3679) 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
- Applied Database Administration and Design
Associate Certificate Part-time
- Computer Systems
Diploma Part-time
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