SQL Development
Course overview
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 course replaces MS-20466.
Course Duration
3 Days
Cost
Audience
Implementing multidimensional databases by using SQL Server Analysis Services
Creating tabular semantic data models for analysis by using SQL Server Analysis ServicesThe secondary audiences for this course are ‘power’ information workers/data analysts.
Prerequisites
Before attending this course, students must have:
Experience of querying data using Transact-SQL
Course Content
Module 1: Introduction to Business Intelligence and Data Modeling
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
After completing this module, you will be able to:
Describe the concept of business intelligence
Describe the Microsoft business intelligence platform
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
After completing this module, you will be able to:
Use multidimensional analysis
Create data sources and data source views
Create a cube
Describe cube security
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
After completing this module, you will be able to:
Configure dimensions
Define attribute hierarchies.
Sort and group attributes
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
After completing this module, you will be able to:
Work with measures
Work with 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
After completing this module, you will be able to:
Describe the fundamentals of MDX
Add calculations to a cube
Query a cube 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
After completing this module, you will be able to:
Implement key performance indicators
Implement actions
Implement perspectives
Implement translations
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
After completing this module, you 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
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
After completing this module, you will be able to:
Describe the fundamentals of DAX
Use DAX to create calculated columns and measures in a tabular data model
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
After completing this module, you 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