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Developing SQL Data Models (20768)

Course Description Schedule Course Outline
 

Course 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.

This course replaces Implementing Data Models and Reports with Microsoft® SQL Server® (20466).

Course Content

  • Introduction to Business Intelligence and Data Modeling
  • Creating Multidimensional Databases
  • Working with Cubes and Dimensions
  • Working with Measures and Measure Groups
  • Introduction to MDX
  • Customizing Cube Functionality
  • Implementing a Tabular Data Model by Using Analysis Services
  • Introduction to Data Analysis Expression (DAX)
  • Performing Predictive Analysis with Data Mining

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.

Certifications

This course is part of the following Certifications:

Prerequisites

Before attending this course, students must have:

  • Experience of querying data using Transact-SQL

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

Follow On Courses

Outline: Developing SQL Data Models (20768)

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 Data Warehouse

After completing this module, you will be able to:

  • Describe the concept of business intelligence
  • Describe the Microsoft business intelligence platform
Module 2: Creating Multidimensional Databases

This module describes the steps required to create a multidimensional database with analysis services.

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

After completing this module, you will be able to:

  • Use multidimensional analysis
  • Create data sources and data source views
  • Create a cube
  • Describe cube security
Module 3: Working with Cubes and Dimensions

This module describes how to implement dimensions in a cube.

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

After completing this module, you will be able to:

  • Configure dimensions
  • Define attribute hierarchies.
  • Sort and group attributes
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

After completing this module, you will be able to:

  • Work with measures
  • Work with 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

After completing this module, you will be able to:

  • Describe the fundamentals of MDX
  • Add calculations to a cube
  • Query a cube using MDX
Module 6: Customizing Cube Functionality

This module describes how to customize a cube.

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

After completing this module, you will be able to:

  • Implement key performance indicators
  • Implement actions
  • Implement perspectives
  • Implement translations
Module 7: Implementing a Tabular Data Model by Using Analysis Services

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

Lessons
  • 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

After completing this module, you will be able to:

  • Describe tabular data models
  • Create a tabular data model
  • Be able to use an analysis services tabular data 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

After completing this module, you will be able to:

  • Describe the fundamentals of DAX
  • Use DAX to create calculated columns and measures in a tabular data model
Module 9: Performing Predictive Analysis with Data Mining

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

Lessons
  • 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

After completing this module, you will be able to:

  • Describe data mining
  • Use the data mining add-in for Excel
  • Create a custom data mining solution
  • Validate a data mining solution
  • Connect to and consume a data mining solution
Classroom Training
Modality: C

Duration 3 days

Price
  • Canada: US$ 1,795
  • SA Voucher: 2
Dates and Booking
Online Training
Modality: L

Duration 3 days

Price
  • Canada: US$ 1,795
  • SA Voucher: 2
Dates and Booking
 
Click on town name to book Schedule
This is an Instructor-Led Classroom course
This computer icon in the schedule indicates that this date/time will be conducted as Instructor-Led Online Training.
This is a FLEX course, which is delivered both virtually and in the classroom.
  *   This class is delivered by a partner.
Canada

Currently there are no training dates scheduled for this course.  For enquiries please write to info@fastlaneca.com.

Europe
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Dec 17-19, 2018 Münster Enroll
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Jan 2-4, 2019 This is a FLEX event Manchester * Enroll
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Mar 18-20, 2019 Manchester * Enroll
Apr 24-26, 2019 This is a FLEX event London (Int Hse) * Enroll
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