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M20768: Developing SQL Data Models

3 Day Course
Hands On
Official Microsoft Curriculum
Code M20768

Book Now - 1 Delivery Method Available:

Classroom Virtual Classroom Private Group - Virtual Self-Paced Online

Overview

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.

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
View detailed Course Modules

Target Audience

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.

Training Partners

We work with the following best of breed training partners using our bulk buying power to bring you a wider range of dates, locations and prices.

Modules

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Introduction to Business Intelligence and Data Modelling (3 topics)

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

Creating Multidimensional Databases (5 topics)

  • Introduction to multidimensional analysis
  • Creating data sources and data source views
  • Creating a cube
  • Overview of cube security
  • Lab : Creating a multidimensional database

Working with Cubes and Dimensions (4 topics)

  • Configuring dimensions
  • Define attribute hierarchies
  • Sorting and grouping attributes
  • Lab : Working with Cubes and Dimensions

Working with Measures and Measure Groups (3 topics)

  • Working with measures
  • Working with measure groups
  • Lab : Configuring Measures and Measure Groups

Introduction to MDX (4 topics)

  • MDX fundamentals
  • Adding calculations to a cube
  • Using MDX to query a cube
  • Lab : Using MDX

Customizing Cube Functionality (5 topics)

  • Implementing key performance indicators
  • Implementing actions
  • Implementing perspectives
  • Implementing translations
  • Lab : Customizing a Cube

Implementing a Tabular Data Model by Using Analysis Services (4 topics)

  • 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

Introduction to Data Analysis Expression (DAX) (3 topics)

  • DAX fundamentals
  • Using DAX to create calculated columns and measures in a tabular data model
  • Lab : Creating Calculated Columns and Measures by using DAX

Performing Predictive Analysis with Data Mining (6 topics)

  • 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

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.

Relevant Certifications

Scheduled Dates

Please select from the dates below to make an enquiry or booking.

Pricing

Different pricing structures are available including special offers. These include early bird, late availability, multi-place, corporate volume and self-funding rates. Please arrange a discussion with a training advisor to discover your most cost effective option.

Code Location Duration Price Oct Nov Dec Jan Feb Mar
Later scheduled dates may be available for this course.
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Microsoft SQL Server Training Courses

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