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ICT 772 Advanced Data Transformation

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Course Description

This course will provide instruction on architecture decisions when approaching a BI system, how to choose your technology and approach, building systems for growth and scalability, and ETL best practices. Real examples will be presented and students will develop a set of tools to help assess and make decisions regarding the technical architecture of a BI solution.


Course Details

Data transformation is at the centre of Business Intelligence (BI) systems; when implemented well, it is the foundation atop which a BI program can be built. Success of Business Intelligence solutions is heavily dependent on business perception of the accuracy, availability, and reliability of data. In order to achieve this, the quality of the data transformation layer is paramount. Furthermore, the definition of this layer is frequently riddled with complexities and a lack of obvious solutions.

In this course, students will delve into the different components that differentiate a sound ETL process and a poor one. To help achieve this, a set of practical tools will be taught providing students with the ability to analyze performance and architectural issues.

The course is designed for developers, DBAs and business users who wish to understand data transformation technologies better. Many topics are touched on at a basic level so students are expected to emerge with enough knowledge to feel comfortable making decisions and conversing with experts in the field.


Prerequisites

Delivery

Courses are instructor-led, face-to-face and may be delivered in three formats:

  • In Class - all classes are taught in a computer lab.
  • Online - all classes are taught synchronously in real-time.
  • Blended - delivery is both in a computer lab and synchronously online, alternating weekly.

It is the students responsibility to carefully read the course section content below to know which delivery options are available for the course they are registering into.

Registration

  • Registrations within 24 hours of course start time must be made by phone (403-220-2988).

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Course Content

Course Level Learning Outcomes

  • Create advanced dimensional models
  • Evaluate and optimize ETL packages
  • Tune SQL queries for optimized performance
  • Assess and develop a plan for scaling your database
  • Describe and evaluate the value of emerging technologies and data challenges

Topics of Instruction

  • Identify the strengths of different BI architectures and technologies
  • Determine architectural and technological choices using business-driven criteria
  • Analyze BI systems' growth patterns and plan for scale
  • Assess and solve basic performance problems
  • Identify best practices and shortcomings in an ETL process
  • Assess and decide on the critical functions to an ETL solution

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Notes

Recommendations and Requirements

Course Duration

Courses are 30 hours and are scheduled to be completed in either 5 weeks or 10 weeks. Generally, 5 week courses have two classes per week, and 10 week courses have one class per week.

Delivery Formats

Courses may be delivered in class, online, or blended (both in class and online). All delivery formats will use Desire2Learn (D2L) and Adobe Connect Meeting (ACM) tools to varying degrees and it is the students responsibility to ensure they are comfortable with these tools prior to the start of the first class.

Students are encouraged to read Student Online Learning Resources to determine the delivery format that will best meet their learning needs.

  • Students familiar with D2L and ACM from previous course work require no further introduction to these learning tools.
  • Students who register into an in class only course section and who are unfamiliar with D2L and ACM learning tools are recommended to take the necessary time to fully explore these learning tools prior to the start of class.
  • Students who register into an online or blended course section and who are unfamiliar with D2L and ACM learning tools are recommended to take BMC 352 Learning Online.

Required Tools

For online and blended delivery, students should have access to their own computer with required software, Internet connection, a headset with speakers and microphone, webcam, and a monitor large enough to display multiple applications (or the use of two monitors). Students should test their environment prior to the start of class to ensure everything is working properly.

Required Software

Textbooks

There are no recommended textbooks for this course. Individual reading material will be provided in class.

Attendance

It is strongly recommended that students attend every class. It is the responsibility of the student to communicate potential absenteeism to the instructor.

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Prerequisites

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Proficiencies

  • Students who register into an online or blended course section and who are unfamiliar with D2L and ACM learning tools are recommended to take BMC 352 Learning Online.
  • Students must be familiar with the personal computer, keyboard and mouse.
  • Students must have Microsoft Windows skills and knowledge, and be able to perform the following tasks:
    • start and run Windows
    • use the taskbar, Start button and Help feature
    • use Minimize, Maximize, Restore Down/Up and Close
    • use the left and right mouse buttons appropriately
    • understand file management techniques
    • navigate between files, folders, or drives.

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Applies Towards the Following Certificate(s)




Sections

  ICT 772 - 001 Advanced Data Transformation  
  Fall 2016   Status:  Enrolment Closed
 
Class:   Wed 6:00PM - 9:00PM
21 Sep 2016 to 23 Nov 2016
Number of Sessions: 10 Sessions
Hours: 30.00
Course Fees:   Flat Fee non-credit    $975.00
 
Campus: Main Campus
Delivery Options:  Class
Instructor(s): Giri Berenstein, Cameron Fernihough
  Section Notes:  

COURSE SCHEDULE AND DELIVERY

This course has 10 classes scheduled once per week for 10 weeks. This course is delivered in an in class format. Classes are held in a classroom lab. 

PREREQUISITES AND PROFICIENCIES

Students who are unfamiliar with D2L / ACM are recommended to take BMC 352 Learning Online.

TRANSFER AND WITHDRAWAL FEES

A $25 fee applies for course withdrawals and transfers. 

  
 
  ICT 772 - 002 Advanced Data Transformation  
  Spring 2017   Status:  Available
 
Class:   Mon 6:00PM - 9:00PM
10 Apr 2017
Class:   Mon 6:00PM - 9:00PM
24 Apr 2017 to 15 May 2017
Class:   Mon 6:00PM - 9:00PM
29 May 2017 to 26 Jun 2017
Number of Sessions: 10 Sessions
Hours: 30.00
Course Fees:   Flat Fee non-credit    $975.00
 
Campus: Main Campus
Delivery Options:  Class
Instructor(s): Giri Berenstein, Cameron Fernihough
  Section Notes:  

COURSE SCHEDULE AND DELIVERY

This course has 10 classes scheduled once per week for 10 weeks. This course is delivered in an in class format. Classes are held in a classroom lab. 

PREREQUISITES AND PROFICIENCIES

Students who are unfamiliar with D2L / ACM are recommended to take BMC 352 Learning Online.

TRANSFER AND WITHDRAWAL FEES

A $25 fee applies for course withdrawals and transfers. 

  
 


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