Developing SQL data models

Course Code: 5035

Overview
What you'll learn
Outline
Prerequisites
Who should attend

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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Course Delivery

This course is available in the following formats:

Live Classroom
Duration: 5 days

Live Virtual Classroom
Duration: 5 days

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

Outline

Module 1: Introduction to Business Intelligence and Data Modelling

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

Module 2: Creating multidimensional databases

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

Module 3: Working with cubes and dimensions

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

Module 4: Working with measures and measure groups

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

Module 5: Introduction to MDX

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

Module 6: Customizing cube functionality

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

Module 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 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

Module 8: Introduction to Data Analysis Expressions (DAX)

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

Module 9: Performing predictive analysis with data mining

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