SSAS Training

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OLAP Design

  • Understanding Fact and Dimension Tables
  • Modeling Slowly Changing and Rapidly Changing Dimensions
  • Modeling Fact Tables
  • Using Star and Snowflake Schemas for Dimension Tables
  • Implementing Surrogate Keys
  • Defining Business Keys

Creating and Populating Data Warehouses

  • Creating Data Warehouses (OLAP Databases)
  • Adding Fact Tables
  • Adding Dimension Tables and Joining Them to Fact Tables
  • Loading Data into Fact and Dimension Tables
  • Validation Techniques for Data Loads

Creating and Managing Cubes

  • Creating Data Sources to Connect to Data Warehouses
  • Using SSAS to Create Cubes
  • Applying Friendly Names to Measures and Attributes
  • Customizing Dimensions and Measures
  • Setting up Navigational Hierarchies
  • Optimizing Cubes with Attribute Relationships

 

Customizing Cubes

  • Adding Key Performance Indicators (KPIs)
  • Customizing Dimensions and Attributes
  • Adding Translations to Support Multiple Languages
  • Adding Custom Calculations
  • Subdividing Cubes Using Perspectives

MDX Functions

  • Using MDX Aggregate Functions
  • Using Navigations Functions to Move Though Hierarchies
  • Grouping, Filtering and Sorting Functions
  • Time-Based MDX Functions

Understanding the Data Mining Process

  • Types of Business Analysis Supported by Data Mining
  • Data Mining Process Explained
  • Understanding the Key Components of Data Mining
  • Built-In Data Mining Algorithms
  • Matching Mining Algorithms to Business Needs