SSAS Training

SSAS Training

Enroll for expert level Online SSAS Training by certified experts, Learn MSBI Sql Server Analysis Services Certification with Material, Live SSAS Tutorial Videos, Attend Demo for Free, Spiritsofts is Best Institute within Reasonable Fee

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  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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