Developing SQL Data Models

02/11/2020 - 04/11/2020
Kalender-Import: iCal

ETC Trainingcenter
Modecenterstrasse 22, 1030 - Wien

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.

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.

Wir empfehlen den Besuch unserer smart Seminare:

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

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.
    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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