20768 Developing SQL Data Models

Price
$1,785.00
SATV Eligible
Duration
 3 Days
Delivery Methods
 VILT    Private Group
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This three-day, instructor-led legacy course is aimed at database professionals who fulfill 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.

 

Upcoming Class Dates and Times

Nov 22  - Nov 24, 2021
8:00AM - 4:00PM Central
3 Days
Virtual Instructor Led
 GTR
Enroll
Mar 21  - Mar 23, 2022
8:00AM - 4:00PM Central
3 Days
Virtual Instructor Led
 GTR
Enroll
Jul 05  - Jul 07, 2022
8:00AM - 4:00PM Central
3 Days
Virtual Instructor Led
 GTR
Enroll

Who Should Attend

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.

Course 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

Agenda

1 - Introduction to Business Intelligence and Data Modeling
  • Introduction to Business Intelligence
  • The Microsoft business intelligence platform
2 - Creating Multidimensional Databases
  • Introduction to multidimensional analysis
  • Creating data sources and data source views
  • Creating a cube
  • Overview of cube security
3 - Working with Cubes and Dimensions
  • Configuring dimensions
  • Define attribute hierarchies
  • Sorting and grouping attributes
4 - Working with Measures and Measure Groups
  • Working with measures
  • Working with measure groups
5 - Introduction to MDX
  • MDX fundamentals
  • Adding calculations to a cube
  • Using MDX to query a cube
6 - Customizing Cube Functionality
  • Implementing key performance indicators
  • Implementing actions
  • Implementing perspectives
  • Implementing translations
7 - Implementing a Tabular Data Model by Using Analysis Services
  • Introduction to tabular data models
  • Creating a tabular data model
  • Using an analysis services tabular model in an enterprise BI solution
8 - Introduction to Data Analysis Expression (DAX)
  • DAX fundamentals
  • Using DAX to create calculated columns and measures in a tabular data model
9 - Performing Predictive Analysis with Data Mining
  • 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

Prerequisite Courses Recommended

  • 20761 Querying Data with Transact SQL
 

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