Course duration
- 3 days
Course Benefits
- Learn to describe the components, architecture, and nature of a BI solution.
- Learn to create a multidimensional database with analysis services.
- Learn to implement dimensions in a cube.
- Learn to implement measures and measure groups in a cube.
- Learn to use MDX syntax.
- Learn to customize a cube.
- Learn to implement a tabular database.
- Learn to use DAX to query a tabular model.
- Learn to use data mining for predictive analysis.
Webucator is a Microsoft Certified Partner for Learning Solutions (CPLS). This class uses official Microsoft courseware and will be delivered by a Microsoft Certified Trainer (MCT).
Course Outline
- Introduction to Business Intelligence and Data Modeling
- Introduction to Business Intelligence
- The Microsoft business intelligence platform
- Lab: Exploring a Data Warehouse
- Creating Multidimensional Databases
- Introduction to multidimensional analysis
- Creating data sources and data source views
- Creating a cube
- Overview of cube security
- Lab: Creating a multidimensional database
- Working with Cubes and Dimensions
- Configuring dimensions
- Define attribute hierarchies
- Sorting and grouping attributes
- Lab: Working with Cubes and Dimensions
- Working with Measures and Measure Groups
- Working with measures
- Working with measure groups
- Lab: Configuring Measures and Measure Groups
- Introduction to MDX
- MDX fundamentals
- Adding calculations to a cube
- Using MDX to query a cube
- Lab: Using MDX
- Customizing Cube Functionality
- Implementing key performance indicators
- Implementing actions
- Implementing perspectives
- Implementing translations
- Lab: Customizing a Cube
- Implementing a Tabular Data Model by Using Analysis Services
- Introduction to tabular data models
- Creating a tabular data model
- Using an analysis services tabular model in an enterprise BI solution
- Lab: Working with an Analysis services tabular data model
- Introduction to Data Analysis Expression (DAX)
- DAX fundamentals
- Using DAX to create calculated columns and measures in a tabular data model
- Lab: Creating Calculated Columns and Measures by using DAX
- Performing Predictive Analysis with Data Mining
- 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
- Lab: Perform Predictive Analysis with Data Mining
Class Materials
Each student will receive a comprehensive set of materials, including course notes and all the class examples.
Experience in the following is required for this SQL Server class:
- Basic knowledge of the Microsoft Windows operating system and its core functionality.
- Working knowledge of Transact-SQL.
- Working knowledge of relational databases. .
Instructor-led courses are offered via a live Web connection, at client sites throughout Europe, and at our Geneva Training Center.