Tag Archives: SQL Server Analysis Service Training

SSAS Training

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Key FeaturesCourse ContentFAQs
  25 hours of Instructor Training Classes                            24/7 Support

 Lifetime Access to Recorded Sessions                              Practical Approach

 Real World use cases and Scenarios                                 Expert & Certified Trainers

SSAS Course Content

Building and Modifying an OLAP Cube

  • Designing a Unified Dimension Model (UDM)
    • Identifying measures and their suitable granularities
    • Adding new measure groups and creating custom measures
  • Creating dimensions
    • Implementing a Star and Snowflake Schema
    • Managing Slow Changing Dimensions (SCD)
    • Identifying role-play dimensions


Extending the Cube with Hierarchies

  • Creating hierarchies
    • Building natural hierarchies
    • Many-to-many hierarchies
    • Creating attribute relationships
    • Distinguishing between ragged, balanced and unbalanced hierarchies
    • Discretizing attribute values with the Clusters and Equal Areas algorithms
  • Parent-child relationships
    • Defining parent and key attributes
    • Generating level captions with the Naming Template feature
    • Removing repeated entries with the Members With Data property


Exploiting Advanced Dimension Relationships

  • Storing dimension data in fact tables
    • Building a degenerate dimension
    • Configuring fact relationships
  • Saving space with referenced dimension relationships
    • Identifying candidates for referenced relationships
    • Utilizing the Dimension Usage tab to configure referenced relationships
  • Including dimensions with many-to-many relationships
    • Implementing intermediate measure groups and dimensions
    • Reporting on many-to-many dimensions without double counting


Designing Optimal Cubes

  • Assembling cube components
    • Selecting the appropriate fact tables
    • Adding cube dimensions
    • Distinguishing between additive, semiadditive and nonadditive measures
  • Designing storage and aggregations
    • Choosing between ROLAP, MOLAP and HOLAP
    • Partitioning cubes for improved performance
    • Designing aggregations with the Aggregation Design Wizard
    • Leveraging the Usage-Based Optimization Wizard
  • Automating processing
    • Exploiting XMLA scripts and SSIS
    • Refreshing cubes with Proactive Caching


Performing Advanced Analysis with MDX

  • Retrieving data with MDX
    • Defining tuples, sets and calculated members
    • Querying cubes with MDX
    • Navigating hierarchies with MDX and utilizing set functions
  • Monitoring business performance with KPIs
    • Building goal, status and trend expressions
    • Using PARALLELPERIOD to compare with past time periods
  • Creating calculations with MDX
    • Adding runtime calculations to the cube
    • Comparing MDX calculations with DSV calculated columns


Securing Cube Data

  • Securing data and simplifying the user interface
    • Distinguishing between perspective feature and security
    • Creating roles for administrative privileges
    • Securing dimension data
    • Implementing cell-level security


Gaining Business Advantage with Data Mining

  • Determining the correct model
    • Identifying business tasks for data mining
    • Training and testing data mining algorithms
    • Comparing algorithms with the accuracy chart and classification matrix
    • Optimizing returns with the Profit Chart
  • Performing real-world predictions
    • Classifying with the Decision Trees, Neural Network and Naive Bayes algorithms
    • Predicting with the Time Series algorithm
  • Deploying models
    • Predicting new cases with algorithms
    • Utilizing DMX to perform batch and singleton predictions
    • Exploring results with data mining viewers
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If I Cancel My Enrollment, Will I Get The Refund?
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