Developing SQL Data Models(20768)

Description

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.

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.

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

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 relational databases.
Some experience with database design

What’s included?

  • Authorized Courseware
  • Intensive Hands on Skills Development with an Experienced Subject Matter Expert
  • Hands on practice on real Servers and extended lab support 1.800.482.3172
  • Examination Vouchers & Onsite Certification Testing- (excluding Adobe and PMP Boot Camps)
  • Academy Code of Honor: Test Pass Guarantee
  • Optional: Package for Hotel Accommodations, Lunch and Transportation

With several convenient training delivery methods offered, The Academy makes getting the training you need easy. Whether you prefer to learn in a classroom or an online live learning virtual environment, training videos hosted online, and private group classes hosted at your site. We offer expert instruction to individuals, government agencies, non-profits, and corporations. Our live classes, on-sites, and online training videos all feature certified instructors who teach a detailed curriculum and share their expertise and insights with trainees. No matter how you prefer to receive the training, you can count on The Academy for an engaging and effective learning experience.

Methods

  • Instructor Led (the best training format we offer)
  • Live Online Classroom – Online Instructor Led
  • Self-Paced Video

Speak to an Admissions Representative for complete details

Curriculum

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

Enrolled