This introductory course teaches an understanding about data warehousing, its architecture, flow, applications and modeling. This course provides the technical skills necessary to cleanse, manipulate and consolidate data to the target system to enable business and informational/analytical reporting. To extract, transform and load (ETL) is one of the techniques for feeding a data warehouse/data mart. In addition, students will be introduced to the concepts and practices around Data Quality and Master Data Management (MDM).
Corporate data assets are found in many different siloed systems within an organization. The ability of business users to unlock the value of those assets to achieve competitive advantage can be a difficult task given the overall lack of organization of data and complexities of dealing with data from multiple disparate systems.
This course is designed for developers, DBAs, and casual users who wish to transform data, create workflows, or maintain their enterprise data in a data warehouse system such as SQL Server. This course assumes you know the basics of how to query a SQL Server along with rudimentary programming skills.
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.
- Registrations within 24 hours of course start time must be made by phone (403-220-2988).
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Course Level Learning Outcomes
Topics of Instruction
- The Requirements Process
- The Interview Process
- The imperative of Traceability
- Identification and types of Measures
- Designing and implementing ETL logic for a Data Warehouse
- Understanding Data Migration
- Facts and Dimensional Modeling
- Planning the ETL Flow
- Extract and Transform Data
- The SSIS Environment
- Creating Packages
- Designing Data Flows
- Load Data to the Data Warehouse
- Design and Implement Control Flow
- Understanding Load Options
- Deploying ETL Solutions
- Readying your solution for production
- Data Quality and Governance
- Data Quality
- Master Data
- Data Governance
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Recommendations and Requirements
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.
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.
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.
Students will need access to software outside the classroom lab to enable work on assignments, projects, and other course work.
- The software used in this course is Microsoft SQL Server 2012 which may be downloaded from Microsoft.
- If necessary, additional requirements will be announced at the start of the course.
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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