20768: Developing SQL Data Models

Networking/Server/Operating Systems
  • Retail Price: $1,995.00
  • Sale Price: $1,695.00 (Vendor Credits or Vouchers Accepted)
  • 3 Days
  • Networking/Server/Operating Systems
Schedules
  07/10/17 - 9-5pm PST Glendale - CA
  07/24/17 - 9-5pm PST Glendale - CA
Delivery Type (Must Select One)
  Instructor-Led
  Online Live Instructor-Led
Optional
  Microsoft Test Voucher ($155.00)
  Microsoft Practice Exam ($70.00)
  LearnITAnytime Online Subscription (1 Year Subscription - $195.00)
  IT Online Library (1 Year Subscription - $1595.00)
  Private Mentoring 3 Hours ($225)
Quantity
If quantity is more than 1, Please add all Attendees' Names /Voucher #/ Learning Credit below separated with a comma. If not specified, we will contact you prior to the class start date. Special Instructions

 

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.



 

 

Module 1: Introduction to Business Intelligence and Data ModelingThis 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, you will be able to:

  • Describe the concept of business intelligence
  • Describe the Microsoft business intelligence platform

Module 2: Creating Multidimensional DatabasesThis 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, you 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 DimensionsThis 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, you will be able to:

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

Module 4: Working with Measures and Measure GroupsThis 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, you will be able to:

  • Work with measures
  • Work with measure groups

Module 5: Introduction to MDXThis 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, you will be able to:

  • Describe the fundamentals of MDX
  • Add calculations to a cube
  • Query a cube using MDX

Module 6: Customizing Cube FunctionalityThis 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, you will be able to:

  • Implement key performance indicators
  • Implement actions
  • Implement perspectives
  • Implement translations

Module 7: Implementing a Tabular Data Model by Using Analysis ServicesThis 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, you 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, you 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 MiningThis 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, you 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

 



 

 

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.
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


 

 

You may cancel this class 10 or more business days prior to the start date of the class for a full refund. No shows or cancellations made within 10 days will forfeit all fees paid.