Developing SQL Data Models Training in New Zealand

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:

• Describe the components, architecture, and nature of a BI solution
• Create a multidimensional database with analysis services
• Implement dimensions in a cube
• Implement measures and measure groups in a cube
• Use MDX syntax
• Customize a cube
• Implement a tabular database
• Use DAX to query a tabular model
• Use data mining for predictive analysis

Module 1: Introduction to Business Intelligence and Data Modelling

This module introduces key BI concepts and the Microsoft BI product suite.

Lessons

• Introduction to Business Intelligence
• The Microsoft business intelligence platform

Lab : Exploring a Data Warehouse

Module 2: Creating Multidimensional Databases

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

Lab : Creating a multidimensional database

Module 3: Working with Cubes and Dimensions

This module describes how to implement dimensions in a cube.

Lessons

• Configuring dimensions
• Define attribute hierarchies
• Sorting and grouping attributes

Lab : Working with Cubes and Dimensions

Module 4: Working with Measures and Measure Groups

This module describes how to implement measures and measure groups in a cube.

Lessons

• Working with measures
• Working with measure groups

Lab : Configuring Measures and Measure Groups

Module 5: Introduction to MDX

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

Lab : Using MDX

Module 6: Customizing Cube Functionality

This module describes how to customize a cube.

Lessons

• Implementing key performance indicators
• Implementing actions
• Implementing perspectives
• Implementing translations

Lab : Customizing a Cube

Module 7: Implementing a Tabular Data Model by Using Analysis Services

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

Lab : Working with an Analysis services tabular data model

Module 8: Introduction to Data Analysis Expression (DAX)

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

Lab : Creating Calculated Columns and Measures by using DAX

Module 9: Performing Predictive Analysis with Data Mining

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

Lab : Perform Predictive Analysis with Data Mining