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Developing SQL Server 2016 Data Models (20768)

COURSE TYPE

Practitioner

Course Number

8425

Duration

3 Days

View Schedule

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.

This is a Microsoft Official Course (MOC) delivered by a Learning Tree expert instructor.

You Will Learn How 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

Important Course Information

Requirements:

  • 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

Exam Information:

  • This course helps you prepare for the Microsoft 70-768 certification exam, Developing SQL Data Models.

Redeem Your Microsoft SATVs:

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

Lab: Exploring a Data Warehouse

After completing this module, students will be able to:

  • Describe the concept of business intelligence
  • Describe the Microsoft business intelligence platform
  • Module 2: Creating Multidimensional Databases

This module describes the steps required to create a multidimensional database with analysis services.

Lessons

  • Introduction to multidimensional analysis
  • Creating data sources and data source views
  • Creating a cube
  • Overview of cube security

Lab: Creating a multidimensional database

After completing this module, students will be able to:

  • Use multidimensional analysis
  • Create data sources and data source views
  • Create a cube
  • Describe cube security
  • Module 3: Working with Cubes and Dimensions

This module describes how to implement dimensions in a cube.

Lessons

  • Configuring dimensions
  • Define attribute hierarchies
  • Sorting and grouping attributes

Lab: Working with Cubes and Dimensions

After completing this module, students will be able to:

  • Configure dimensions
  • Define attribute hierarchies.
  • Sort and group attributes
  • 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

Lab: Configuring Measures and Measure Groups

After completing this module, students will be able to:

  • Work with measures
  • Work 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

Lab: Using MDX

After completing this module, students will be able to:

  • Describe the fundamentals of MDX
  • Add calculations to a cube
  • Query a cube using MDX
  • Module 6: Customizing Cube Functionality

This module describes how to customize a cube.

Lessons

  • Implementing key performance indicators
  • Implementing actions
  • Implementing perspectives
  • Implementing translations

Lab: Customizing a Cube

After completing this module, students will be able to:

  • Implement key performance indicators
  • Implement actions
  • Implement perspectives
  • Implement translations
  • Module 7: Implementing a Tabular Data Model by Using Analysis Services

This module describes how to implement a tabular data model in PowerPivot.

Lessons

  • Introduction to tabular data models
  • Creating a tabular data model
  • Using an analysis services tabular model in an enterprise BI solution

Lab: Working with an Analysis services tabular data model

After completing this module, students will be able to:

  • Describe tabular data models
  • Create a tabular data model
  • Be able to use 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

Lab: Creating Calculated Columns and Measures by using DAX

After completing this module, students will be able to:

  • Describe the fundamentals of DAX
  • Use 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
  • Using the data mining add-in for Excel
  • Creating a custom data mining solution
  • Validating a data mining model
  • Connecting to and consuming a data mining model

Lab: Perform Predictive Analysis with Data Mining

After completing this module, students will be able to:

  • Describe data mining
  • Use the data mining add-in for Excel
  • Create a custom data mining solution
  • Validate a data mining solution
  • Connect to and consume a data mining solution
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Course Schedule

Attend this live, instructor-led course In-Class or Online via AnyWare.

Hassle-Free Enrollment: No advance payment required.
Tuition due 30 days after your course.

Jul 19 - 21 New York/AnyWare Enroll Now

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In-Class

Sep 6 - 8 Toronto/AnyWare Enroll Now

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In-Class

Oct 11 - 13 Herndon, VA/AnyWare Enroll Now

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In-Class

Nov 15 - 17 AnyWare Enroll Now

How would you like to attend?

Live, Online via AnyWare

Jan 17 - 19 New York/AnyWare Enroll Now

How would you like to attend?

Live, Online via AnyWare
In-Class

Mar 7 - 9 Toronto/AnyWare Enroll Now

How would you like to attend?

Live, Online via AnyWare
In-Class

Guaranteed to Run

Bring this Course to Your Organization and Train Your Entire Team
For more information, call 1-888-843-8733 or click here

Tuition

Standard

$2650

Government

$2355

Course Tuition Includes:

After-Course Instructor Coaching
When you return to work, you are entitled to schedule a free coaching session with your instructor for help and guidance as you apply your new skills.

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Questions

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An experienced training advisor will happily answer any questions you may have and alert you to any tuition savings to
which you or your organization may be entitled.

Training Hours

Standard Course Hours: 9:00 am – 4:30 pm
*Informal discussion with instructor about your projects or areas of special interest: 4:30 pm – 5:30 pm


FREE Online Course Exam (if applicable) – Last Day: 3:30 pm – 4:30 pm
By successfully completing your FREE online course exam, you will:

  • Have a record of your growth and learning results.
  • Bring proof of your progress back to your organization
  • Earn credits toward industry certifications (if applicable)
  • Make progress toward one or more Learning Tree Specialist & Expert Certifications (if applicable)

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