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MOC 20768: Developing SQL Data Models

Learn about SQL Server Analysis Services (SSAS) for SQL Server 2016.

This course describes how to implement both multidimensional and tabular data models and how to create cubes, dimensions, measures, and measure groups. This course helps you prepare for the Exam 70-768.

Što ćete naučiti

  • 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

Kome je namijenjeno

  • Data analysts and power information workers

Preduvjeti

  • Basic knowledge of the Microsoft Windows operating system and its core functionality.
  • Experience of querying data usingTransact-SQL.

Nastavni plan

Pregledaj
1. Introduction to Business Intelligence and Data Modeling
  • Introduction to Business Intelligence
  • Microsoft Business Intelligence Platform
2. Create Multidimensional Databases
  • Introduction to Multidimensional Analysis
  • Create Data Sources and Data Source Views
  • Cubes
  • Overview of Cube Security
  • Configure SSAS
  • Monitoring SSAS
3. Working Cubes and Dimensions
  • Configure Dimensions
  • Define Attribute Hierarchies
  • Implementing Sorting and Grouping Attributes
  • Slowly Changing Dimensions
4. Working with Measures and Measure Groups
  • Working with Measures
  • Working with Measure Groups
5. Introduction to Multidimensional Expressions (MDX)
  • MDX Fundamentals
  • Add Calculations to a Cube
  • Use MDX to Query a Cube
6. Customize Cube Functionality
  • Implement Key Performance Indicators
  • Implement Actions
  • ImplementPerspectives
  • Implement Translations
7. Implement a Tabular Data Model by Using Analysis Services
  • Introduction to Tabular Data Models
  • Create a Tabular Data Model
  • Use an Analysis Services Tabular Model in an Enterprise BI Solution
8. Introduction to Data Analysis Expression (DAX)
  • DAX Fundamentals
  • Using Dax to create Calculated Columns and Measures in a Tabular Data Model
9. Perform Predictive Analysis with Data Mining
  • Overview of Data Mining
  • Create a Custom Data Mining Solution
  • Validate a Data Mining Model
  • Connecting to and Consume a Data Mining Model
  • Using the Data Mining add-in for Excel
Labs Lab 1: Exploring a BI Solution Lab 2: Create a Multidimensional Database Lab 3: Work with Cubes and Dimensions Lab 4: Configure Measures and Groups Lab 5: Use MDX Lab 6: Customize a Cube Lab 7: Working with an Analysis Services Tabular Data Model Lab 8: Create Calculated Columns and Measures using DAX Lab 9: Using Data Mining
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