Developing SQL Data Models (20768)

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.

Retail Price: $1,575.00

Next Date: 05/13/2019

Course Days: 3


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About this Course

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.

Audience Profile

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
  • The secondary audiences for this course are ‘power’ information workers/data analysts. 

At Course Completion

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

Prerequisites

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. 

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, you 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, 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 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, you 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, you 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, you 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, 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 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, 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 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, 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

Now you can build Microsoft technical experience while balancing the demands of your schedule. MOC On-Demand combines high-quality video, reading, live hands-on labs and knowledge checks in a self-paced format to help you build skills on Microsoft technologies as you schedule allows – all at once or five minutes at a time. The modular, self-directed course structure adapts to your learning needs and learning style.

Brought to you by the people who write the software, Microsoft Official Courses On-Demand are only available through certified Microsoft Learning Partners like Tandem Solution.

Our On-Demand Solution Includes all of the following:

  • 90-day access to training videos
  • 90-day access to hands-on labs
  • 90-day access to exercises
  • Knowledge Checks

The benefits of our On-Demand solution are: 

  • MICROSOFT OFFICIAL: The content is based on the same official courseware used in instructor-led training and maps to the MOC flow
  • LIVE HANDS-ON LABS: Unlike other on-demand offerings that offer simulated labs, MOC On-Demand gives you a live, real-time environment for hands-on learning
  • SELF-PACED LEARNING: With MOC On-Demand, you can build deep technical skills on a range of Microsoft technologies when you choose, where you choose
  • HIGH-QUALITY CONTENT: The high-quality videos offer in-depth technical content delivered by engaging instructors
  • IMMEDIATE FFEDBACK: Knowledge checks at the end of each module and each course tells you whether you’ve mastered the content and are ready to move on

On-Demand Add-ons:

  • Lifetime eBook available at an additional cost
  • 180 day access available at an additional cost

*SATV Vouchers are accepted

Course Dates Course Times (EST) Delivery Mode GTR
5/13/2019 - 5/15/2019 9:30 AM - 5:00 PM Virtual Enroll