Seminar Details

Developing SQL Data Models (MOC20768)

ETC
MOC20768
Hersteller-ID: 20768
Prüfungs ID: 70-768
Dauer: 3 Tage
Preis: € 1.465.- exkl.MwST
Wissensgarantie: 12 Monate

Info: Dieses Seminar behandelt prüfungsrelevante Themen zum Microsoft Examen: 70-768 Developing SQL Data Models
This three-day instructor-led course is aimed at database professionals who fulfil a Business Intelligence (BI) developer role. This course looks at implementing multidimensional databases by using SQL Server Analysis Services (SSAS), and at creating tabular semantic data models for analysis with SSAS.

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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

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Zielgruppe

The primary audience for this course are:
  • database professionals who need to fulfil BI Developer role to create enterprise BI solutions.
  • 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.
  • Vorkenntnisse

    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.

    Schwerpunkte

    1. Module 1: Introduction to Business Intelligence and Data Modeling
        1. Introduction to Business Intelligence
        2. The Microsoft business intelligence platform
      1. Lab: Exploring a Data Warehouse
    2. Module 2: Creating Multidimensional Databases
        1. Introduction to multidimensional analysis
        2. Creating data sources and data source views
        3. Creating a cube
        4. Overview of cube security
      1. Lab: Creating a multidimensional database
    3. Module 3: Working with Cubes and Dimensions
        1. Configuring dimensions
        2. Define attribute hierarchies
        3. Sorting and grouping attributes
      1. Lab: Working with Cubes and Dimensions
    4. Module 4: Working with Measures and Measure Groups
        1. Working with measures
        2. Working with measure groups
      1. Lab: Configuring Measures and Measure Groups
    5. Module 5: Introduction to MDX
        1. MDX fundamentals
        2. Adding calculations to a cube
        3. Using MDX to query a cube
      1. Lab: Using MDX
    6. Module 6: Customizing Cube Functionality
        1. Implementing actions
        2. Implementing perspectives
        3. Implementing translations
      1. Lab: Customizing a Cube
    7. Module 7: Implementing a Tabular Data Model by Using Analysis Services
        1. Introduction to tabular data models
        2. Creating a tabular data model
        3. Using an analysis services tabular model in an enterprise BI solution
      1. Lab: Working with an Analysis services tabular data model
    8. Module 8: Introduction to Data Analysis Expression (DAX)
        1. DAX fundamentals
        2. Using DAX to create calculated columns and measures in a tabular data model
      1. Lab: Creating Calculated Columns and Measures by using DAX
    9. Module 9: Performing Predictive Analysis with Data Mining
        1. Overview of data mining
        2. Creating a Custom Data Mining Solution
        3. Validating a Data Mining Model
        4. Connecting to and Consuming a Data-Mining Model
        5. Using the Data Mining add-in for Excel
      1. Lab: Using Data Mining
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