OD20768 - Developing SQL Data Models

Self-paced (3 months access)

This On-Demand Microsoft Official Curriculum (MOC)Course focuses 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.

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This module introduces key BI concepts and the Microsoft BI product site.

Lessons

  • Introduction to Business Intelligence
  • The Microsoft business intelligence platform

Exploring a BI Solution

  • Exploring a Data Warehouse
  • Exploring a data model

After completing this module, students will be able to:

  • Describe BI scenarios, trends, and project roles.
  • Describe the products that make up the Microsoft BI platform.

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

Creating a multidimensional database

  • Creating a Data Source
  • Creating and Modifying a data Source View
  • Creating and Modifying a Cube

After completing this module, students will be able to:

  • Describe considerations for a multidimensional database.
  • Create data sources and data source views.
  • Create a cube
  • Implement security in a multidimensional database.
  • Configure SSAS to meet requirements including memory limits, NUMA and disk layout.
  • Monitor SSAS performance.

This module describes how to implement dimensions in a cube.

Lessons

  • Configuring Dimensions
  • Defining Attribute Hierarchies
  • Sorting and Grouping Attributes
  • Slowly Changing Dimensions

Working with Cubes and Dimensions

  • Configuring Dimensions
  • Defining Relationships and Hierarchies
  • Sorting and Grouping Dimension Attributes

After completing this module, students will be able to:

  • Configure dimensions.
  • Define attribute hierarchies.
  • Implement sorting and grouping for attributes.
  • Implement slowly changing dimensions.

This module describes how to implement measures and measure groups in a cube.

Lessons

  • Working with Measures
  • Working with Measure Groups

Configuring Measures and Measure Groups

  • Configuring Measures
  • Defining Dimension Usage and Relationships
  • Configuring Measure Group Storage

After completing this module, students will be able to:

  • Configure measures.
  • Configure measure groups.

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

Using MDX

  • Querying a cube using MDX
  • Creating a Calculated Member

After completing this module, students will be able to:

  • Use basic MDX functions.
  • Use MDX to add calculations to a cube.
  • Use MDX to query a cube

This module describes how to customize a cube.

Lessons

  • Introduction to Business Intelligence
  • The Implementing Key Performance Indicators
  • Implementing Actions
  • Implementing Perspectives
  • Implementing Translations

Customising a Cube

  • Implementing a KPI
  • Implementing an action
  • Implementing a perspective
  • Implementing a translation

After completing this module, students will be able to:

  • Implement KPIs in a Multidimensional database
  • Implement Actions in a Multidimensional database
  • Implement perspectives in a Multidimensional database
  • Implement translations in a Multidimensional database

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

Working with an Analysis Services Tabular Data Model

  • Creating an Analysis Services Tabular Data Model
  • Configure Relationships and Attributes
  • Configuring Data Model for an Enterprise BI Solution.

After completing this module, students will be able to:

  • Describe tabular data models
  • Describe how to create a tabular data model
  • Use an Analysis Services Tabular Model in an enterprise BI solution

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

Creating Calculated Columns and Measures by using DAX

  • Creating Calculated Columns
  • Creating Measures
  • Creating a KPI
  • Creating a Parent – Child Hierarchy

After completing this module, students will be able to:

  • Describe the key features of DAX
  • Create calculated columns and measures by using DAX

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

Using Data Mining

  • Creating a Data Mining Structure and Model
  • Exploring Data Mining Models
  • Validating Data Mining Models
  • Consuming a Data Mining Model
  • Using the Excel Data Mining add-in

After completing this module, students will be able to:

  • Describe considerations for data mining
  • Create a data mining model
  • Validate a data mining model
  • Connect to a data-mining model
  • Use the data mining add-in for Excel

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

Before attending this course, students must have:Experience of querying data using Transact-SQL

After completing this course, students will be able to:Describe the components, architecture, and nature of a BI solutionCreate a multidimensional database with Analysis ServicesImplement dimensions in a cubeImplement measures and measure groups in a cubeUse MDX syntaxCustomize a cubeImplement a tabular databaseUse DAX to query a tabular modelUse data mining for predictive analysis

Microsoft Official Courses
On-Demand


Free with SATVs

MOC On-Demand: $1,089 (or 2-day SATVs)

for 90 days access, includes videos, online labs, knowledge checks and assessments.


MOC On-Demand plus Digital MOC ebook: $1,430  (or 5-day SATVs)

for 90 days access, includes videos, online labs, knowledge checks, assessments plus unrestricted access to the accompanying MOC eBook

Special Offer! Use your SATVs and get 5 days free access to our tech lab, with one-on-one instructor support through our flexible mentored learning option.

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Students must redeem their OD course from Microsoft within 7 Days. SATV Payment will otherwise not be accepted, and an invoice will be raised.

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