This course focuses on the more advanced skills needed to build robust, enterprise-ready BI solutions. Students will learn the skills to build, deploy and query data via Online Analytical Processing (OLAP) cubes that are used for ad-hoc for slicing and dicing of data. Business and IT analysts alike will benefit from learning these advanced, enterprise grade tools in order to expand self service capabilities.
The last mile in unlocking the value of data lies in its presentation. How data is presented to end users depends on the specific use cases and the requirements as determined by the business. Reports typically range from executive dashboards to pre-canned regularly-run detail reports and open-ended ad-hoc slice and dice structures that are consumed by power users.
This course is designed for Business Intelligence developers who wish to learn advanced skills needed to build robust, enterprise-ready BI solutions. This course assumes you already know certain core BI concepts such as dimensional modelling and data warehouse design. Some previous knowledge of relational databases, and especially SQL Server, will be important when it comes to understanding the Tabular skills taught within this course.
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
- Design, develop and implement a SQL Server BI solution using the Multidimensional and Tabular Model
- Querying a Multidimensional Model with MDX 3
- Design, develop and implement a SQL Server BI solution using the Tabular Model 4
- Querying a Tabular Model with DAX 5
- Develop familiarity with SQL Server BI Client Tools through hands on work
Topics of Instruction
- Introduction to Analysis Services Semantic Modeling
- What is a multidimensional OLAP model?
- What is a tabular model?
- What are the advantages of multidimensional and tabular models?
- Determine when you should build a multidimensional model
- Building and using Analysis Services structures
- Designing a multidimensional and tabular structure
- Loading data into a data structure
- Querying a semantic model
- Reporting and Analysis from Analysis Services structures
- Delivering and Maintenance
- Publishing and securing the model
- Maintaining the models
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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.
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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