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Developing SQL data models

Live Classroom
Duration: 5 days
Live Virtual Classroom
Duration: 5 days
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Overview

This three-day, instructor-led course equips participants with the skills and knowledge essential for creating managed enterprise BI solutions. The course discusses how to implement both multidimensional and tabular data models and how to create cubes, dimensions, measures and measure groups. The course is immensely helpful for participants who wish to excel in fulfilling a BI developer role.
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What You'll Learn

  • 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

Curriculum

  • Introduction to Business Intelligence
  • The Microsoft business intelligence platform
  • Lab : Exploring a BI Solution
    • Exploring a Data Warehouse
    • Exploring a data model

  • Introduction to Multidimensional Analysis
  • Data Sources and Data Source Views
  • Cubes
  • Overview of Cube Security
  • Configure SSAS
  • Monitoring SSAS
  • Lab : Creating a multidimensional database
    • Creating a Data Source
    • Creating and Configuring a data Source View
    • Creating and Configuring a Cube
    • Adding a Dimension to a Cube

  • Configuring Dimensions
  • Defining Attribute Hierarchies
  • Implementing Sorting and Grouping Attributes
  • Slowly Changing Dimensions
  • Lab : Working with Cubes and Dimensions
    • Configuring Dimensions
    • Defining Relationships and Hierarchies
    • Sorting and Grouping Dimension Attributes

  • Working with Measures
  • Working with Measure Groups
  • Lab : Configuring Measures and Measure Groups
    • Configuring Measures
    • Defining Regular Relationships
    • Configuring Measure Group Storag

  • MDX fundamentals
  • Adding Calculations to a Cube
  • Using MDX to Query a Cube
  • Lab : Using MDX
    • Querying a cube using MDX
    • Adding a Calculated Member

  • Implementing Key Performance Indicators
  • Implementing Actions
  • Implementing Perspectives
  • Implementing Translations
  • Lab : Customizing a Cube
    • Implementing an action
    • Implementing a perspective
    • Implementing a translation

  • Introduction to Tabular Data Models
  • Creating a Tabular Data Model
  • Using an Analysis Services Tabular Data Model in an Enterprise BI Solution
  • Lab : 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

  • DAX Fundamentals
  • Using DAX to Create Calculated Columns and Measures in a Tabular Data Model
  • Lab : Creating Calculated Columns and Measures by using DAX
    • Creating Calculated Columns
    • Creating Measures
    • Creating a KPI
    • Creating a Parent – Child Hierarchy

  • 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
  • Lab : 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
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Who should attend

The course is highly recommended for –

  • Software engineers
  • Business Intelligence developers
  • Business Intelligence ETL developers
  • SQL BI developers
  • Data visualization engineers

Prerequisites

Participants need to have experience querying data using Transact-SQL.

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