This three-day instructor-led course is aimed at database professionals who fulfil a Business Intelligence (BI) developer role. This course looks at implementing multidimensional databases by using SQL Server Analysis Services (SSAS), and at creating tabular semantic data models for analysis with SSAS.
This module introduces key BI concepts and the Microsoft BI product suite.
Lessons- Introduction to Business Intelligence
- The Microsoft business intelligence platform
After completing this module, students will be able to:
- Describe the concept of business intelligence
- Describe the Microsoft business intelligence platform
This module describes the steps required to create a multidimensional database with analysis services.
Lessons- Introduction to multidimensional analysis
- Creating data sources and data source views
- Creating a cube
- Overview of cube security
After completing this module, students will be able to:
- Use multidimensional analysis
- Create data sources and data source views
- Create a cube
- Describe cube security
This module describes how to implement dimensions in a cube.
Lessons- Configuring dimensions
- Define attribute hierarchies
- Sorting and grouping attributes
After completing this module, students will be able to:
- Configure dimensions
- Define attribute hierarchies.
- Sort and group attributes
This module describes how to implement measures and measure groups in a cube.
Lessons- Working with measures
- Working with measure groups
After completing this module, students will be able to:
- Work with measures
- Work with measure groups
This module describes the MDX syntax and how to use MDX.
Lessons- MDX fundamentals
- Adding calculations to a cube
- Using MDX to query a cube
After completing this module, students will be able to:
- Describe the fundamentals of MDX
- Add calculations to a cube
- Query a cube using MDX
This module describes how to customize a cube.
Lessons- Implementing key performance indicators
- Implementing actions
- Implementing perspectives
- Implementing translations
After completing this module, students will be able to:
- Implement key performance indicators
- Implement actions
- Implement perspectives
- Implement translations
This module describes how to implement a tabular data model in PowerPivot.
Lessons- Introduction to tabular data models
- Creating a tabular data model
- Using an analysis services tabular model in an enterprise BI solution
After completing this module, students will be able to:
- Describe tabular data models
- Create a tabular data model
- Be able to use an analysis services tabular data model in an enterprise BI solution
This module describes how to use DAX to create measures and calculated columns in a tabular data model.
Lessons- DAX fundamentals
- Using DAX to create calculated columns and measures in a tabular data model
After completing this module, students will be able to:
- Describe the fundamentals of DAX
- Use DAX to create calculated columns and measures in a tabular data model
This module describes how to use data mining for predictive analysis.
Lessons- Overview of data mining
- Using the data mining add-in for Excel
- Creating a custom data mining solution
- Validating a data mining model
- Connecting to and consuming a data mining model
After completing this module, students will be able to:
- Describe data mining
- Use the data mining add-in for Excel
- Create a custom data mining solution
- Validate a data mining solution
- Connect to and consume a data mining solution
The primary audience for this course are database professionals who need to fulfil BI Developer role to create enterprise BI solutions. Primary responsibilities will include:
- Implementing multidimensional databases by using SQL Server Analysis Services
- Creating tabular semantic data models for analysis by using SQL Server Analysis Services
- The secondary audiences for this course are ‘power’ information workers/data analysts.
This course requires that you meet the following prerequisites:
- Basic knowledge of the Microsoft Windows operating system and its core functionality.
- Working knowledge of Transact-SQL.
- Working knowledge of relational databases.
After completing this course, students will be able to:
Register
Not currently scheduled
Fast track the availability of this course.
Add to watch list or call 1300 794 006.
Anywhere at anytime
Study on-demand.
Add to watch list or call 1300 794 006.
Request a Quote