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Developing SQL Data Models

The topics of this seminar are how to implement multidimensional databases using the SQL Server Analysis Services (SSAS), and how to create tabular semantic data models for analyzing data using the SSAS.

M-20768

Duration

3 days

target group

Business intelligence developers

Contents (new)

  1. Introduction to Business Intelligence and Data Modeling
    • BI Concepts
    • The Microsoft Business Intelligence Platform
  2. Creating Multidimensional Databases
    • Introduction to Multidimensional Analysis
    • Creating Data Sources and Data Source Views
    • Creating a Cube
    • Overview of Cube Security
  3. Working with Cubes and Dimensions
    • Configuring Dimensions
    • Defining Attribute Hierarchies
    • Sorting and Grouping Attributes
  4. Working with Measures and Measure Groups
  5. Introduction to MDX
  6. Customizing the Cube Functionality
    • Implementing Key Performance Indicators
    • Implementing Actions
    • Implementing Perspectives
    • Implementing Translations
  7. Implementing a Tabular Data Model using the Analysis Services
  8. Introduction to Data Analysis Expression (DAX)
    DAX-Grundlagen
    Erstellen berechneter Spalten und Measures in einem tabellarischen Datenmodell mithilfe von DAX
  9. Predictive Analyses with Data Mining
    • Overview of Data Mining
    • Using the Data Mining Add-In for Excel
    • Creating a User-Defined Data Mining Solution
    • Validating a Data Mining Model
    • Establishing a Connection to a Data Mining Model and using the Model

Learning goals

The topics of this seminar are how to implement multidimensional databases using the SQL Server Analysis Services (SSAS), and how to create tabular semantic data models for analyzing data using the SSAS.

Prerequisites

  • Basic knowledge of the Windows operating system and its core functionality
  • Practical experience with Transact-SQL
  • Practical experience with relational databases

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PlaceDateLanguageprice 
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22.01. - 24.01.2020
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Zürich / CH
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