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. Top 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
Top 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
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.
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