20768 Developing SQL Data Models
This course is aimed at database professionals who fulfil a Business Intelligence (BI) developer role. Students will learn to implement multidimensional databases by using SQL Server Analysis Services (SSAS), and at creating tabular semantic data models.
PREREQUISITES
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.
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TARGET AUDIENCE
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.
COURSE OBJECTIVES
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
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COURSE OUTLINE
1 - INTRODUCTION TO BUSINESS INTELLIGENCE AND DATA MODELING
Introduction to Business Intelligence
The Microsoft business intelligence platform
Lab : Exploring a Data Warehouse
2 - 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
3 - WORKING WITH CUBES AND DIMENSIONS
Configuring dimensions
Define attribute hierarchies
Sorting and grouping attributes
Lab : Working with Cubes and Dimensions
4 - WORKING WITH MEASURES AND MEASURE GROUPS
Working with measures
Working with measure groups
Lab : Configuring Measures and Measure Groups
5 - INTRODUCTION TO MDX
MDX fundamentals
Adding calculations to a cube
Using MDX to query a cube
Lab : Using MDX
6 - CUSTOMIZING CUBE FUNCTIONALITY
Implementing key performance indicators
Implementing actions
Implementing perspectives
Implementing translations
Lab : Customizing a Cube
7 - 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
8 - 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
9 - 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
Actual course outline may vary depending on offering center. Contact your sales representative for more information.
