20768: Developing SQL Data Models

$2,295.00
$2,295.00
$2,295.00
$2,295.00
$2,295.00
$2,295.00
Start Date Time Days Price GTR Availability
December 04, 2017 09:00 (EST) 3 $2,295.00 Register
December 11, 2017 09:00 (EST) 3 $2,295.00 Register
January 03, 2018 09:00 (EST) 3 $2,295.00 Register
January 29, 2018 09:00 (EST) 3 $2,295.00 Register
February 26, 2018 09:00 (EST) 3 $2,295.00 Register
March 12, 2018 09:00 (EST) 3 $2,295.00 Register

About this course

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.

 

Prerequisites

Before attending this course, students must have:

  • Experience of querying data using Transact-SQL

 

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

 

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

 

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 BI Solution

Exploring a Data Warehouse

Exploring a data model

 

After completing this module, students will be able to:

Describe BI scenarios, trends, and project roles.

Describe the products that make up the Microsoft BI platform.

 

Module 2: Creating Multidimensional Databases

This module describes how to create multidimensional databases using SQL Server Analysis Services.

 

Lessons

Introduction to Multidimensional Analysis

Creating Data Sources and Data Source Views

Creating a Cube

Overview of Cube Security

Configure SSAS

Monitoring SSAS

 

Lab : Creating a multidimensional database

Creating a Data Source

Creating and Modifying a data Source View

Creating and Modifying a Cube

 

After completing this module, you will be able to:

Describe considerations for a multidimensional database.

Create data sources and data source views.

Create a cube

Implement security in a multidimensional database.

Configure SSAS to meet requirements including memory limits, NUMA and disk layout.

Monitor SSAS performance.

 

Module 3: Working with Cubes and Dimensions

This module describes how to implement dimensions in a cube.

 

Lessons

Configuring Dimensions

Defining Attribute Hierarchies

Sorting and Grouping Attributes

Slowly Changing Dimensions

 

Lab : Working with Cubes and Dimensions

Configuring Dimensions

Defining Relationships and Hierarchies

Sorting and Grouping Dimension Attributes

 

After completing this module, you will be able to:

Configure dimensions.

Define attribute hierarchies.

Implement sorting and grouping for attributes.

Implement slowly changing dimensions.

 

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

Configuring Measures

Defining Dimension Usage and Relationships

Configuring Measure Group Storage

 

After completing this module, you will be able to:

Configure measures.

Configure 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

Querying a cube using MDX

Creating a Calculated Member

 

After completing this module, you will be able to:

Use basic MDX functions.

Use MDX to add calculations to a cube.

Use MDX to query a cube.

 

Module 6: Customizing Cube Functionality

This module describes how to customize a cube.

 

Lessons

Introduction to Business Intelligence

The Implementing Key Performance Indicators

Implementing Actions

Implementing Perspectives

Implementing Translations

 

Lab : Customizing a Cube

Implementing a KPI

Implementing an action

Implementing a perspective

Implementing a translation

 

After completing this module, you will be able to:

Implement KPIs in a Multidimensional database

Implement Actions in a Multidimensional database

Implement perspectives in a Multidimensional database

Implement translations in a Multidimensional database

 

Module 7: Implementing a Tabular Data Model by Using Analysis Services

This module describes how to implement a tabular data model in Power Pivot.

 

Lessons

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.

 

After completing this module, students will be able to:

Describe tabular data models

Describe how to create a tabular data model

Use an Analysis Services Tabular 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

Creating Calculated Columns

Creating Measures

Creating a KPI

Creating a Parent – Child Hierarchy

 

After completing this module, students will be able to:

Describe the key features of DAX

Create calculated columns and measures by using DAX

 

Module 9: Performing Predictive Analysis with Data Mining

This module describes how to use data mining for predictive analysis.

 

Lessons

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

 

After completing this module, students will be able to:

Describe considerations for data mining

Create a data mining model

Validate a data mining model

Connect to a data-mining model

Use the data mining add-in for Excel