MOC On-Demand Packaged Set 20768B: Developing SQL Data Models (90 Day) (Q4P-00100)

The focus of this 3-day instructor-led course is on creating managed enterprise BI solutions. It 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.

Microsoft On Demand
Microsoft Official Courses On-Demand (MOC On-Demand) blend video, text, hands-on labs and knowledge checks to help you build your Microsoft technology skills?on your own schedule, at your own pace and in your own place. No need to spend time and money travelling to a classroom location or adhering to classroom hours?with a computer and an Internet connection, your Microsoft Official Courses On-Demand come to you, any time.
  • Microsoft On Demand covers the same objectives as the classroom course by the same name
  • After you activate your course, you have 3 months to complete it. You can work on your course at any time throughout the 3-month period after you activate the course.
Microsoft On Demand Packaged Set
Including
  • Microsoft On Demand Course OD20768B (includes Microsoft Labs Online)
  • Digital courseware Course 20768B

Target Audience
The primary audience for this course are database professionals who need to fulfil BI Developer role to create enterprise BI solutions.  
Primary responsibilities will  include:
  • Implementing multidimensional databases by using SQL Server Analysis Services
  • Creating tabular semantic data models for analysis by using SQL Server Analysis Services
Pre-Requisites

Before attending this course, students must have:

  • Experience of querying data using Transact-SQL
Objectives
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
mostrar detailes
Course Outline

Module 1: Introduction to Business Intelligence and Data Modeling

This module introduces key BI concepts and the Microsoft BI product suite.
Lessons
  • Introduction to Business Intelligence
  • The Microsoft business intelligence platform

Module 2: Creating Multidimensional Databases
This module describes how to create multidimensional databases using SQL Server Analysis Services.
Lessons
  • Introduction to Multidimensional Analysis
  • Creating Data Sources and Data Source Views
  • Creating a Cube
  • Overview of Cube Security
  • Configure SSAS
  • Monitoring SSAS

Module 3: Working with Cubes and Dimensions
This module describes how to implement dimensions in a cube.
Lessons
  • Configuring Dimensions
  • Defining Attribute Hierarchies
  • Sorting and Grouping Attributes
  • Slowly Changing Dimensions

Module 4: Working with Measures and Measure Groups
This module describes how to implement measures and measure groups in a cube.
Lessons
  • Working with Measures
  • Working with Measure Groups

Module 5: Introduction to MDX
This module describes the MDX syntax and how to use MDX.
Lessons
  • MDX fundamentals
  • Adding Calculations to a Cube
  • Using MDX to Query a Cube

Module 6: Customizing Cube Functionality
This module describes how to customize a cube.
Lessons
  • Introduction to Business Intelligence
  • The Implementing Key Performance Indicators
  • Implementing Actions
  • Implementing Perspectives
  • Implementing Translations

Module 7: Implementing a Tabular Data Model by Using Analysis Services
This module describes how to implement a tabular data model in Power Pivot.
Lessons
  • Introduction to Tabular Data Models
  • Creating a Tabular Data Model
  • Using an Analysis Services Tabular Data Model in an Enterprise BI Solution

Module 8: Introduction to Data Analysis Expression (DAX)
This module describes how to use DAX to create measures and calculated columns in a tabular data model.
Lessons
  • DAX Fundamentals
  • Using DAX to Create Calculated Columns and Measures in a Tabular Data Model

Module 9: Performing Predictive Analysis with Data Mining
This module describes how to use data mining for predictive analysis.
Lessons
  • Overview of Data Mining
  • Creating a Custom Data Mining Solution
  • Validating a Data Mining Model
  • Connecting to and Consuming a Data-Mining Model
  • Using the Data Mining add-in for Excel