OD20768

MOC on Demand: Developing SQL Data Models

  • Course Price:$675
  • Audience: Developers
  • Portfolio: MOC-ON-DEMAND
  • Related Exams:
  • Related Certifications:

Description

About MOC on Demand
MOC On Demand from OakTree puts a massive catalog of Microsoft courses online right at your fingertips -- from anywhere, anytime. Each MOC On Demand course is the perfect blend of video, text, and lab-style instruction with knowledge checks throughout so students can gauge their comprehension.  Taking official Microsoft courses online has never been so simple.

Basic Course Package: $675.00 or 2 voucher days
Package Includes: Online Course, 90-day access to the course and labs.
*does not include digital courseware.

Plus Course Package: $950.00 or 3 voucher days
Package Includes: Online Course, 90-day access to the course and labs, digital courseware

Premium Course Package: $1250.00 or 4 voucher days
Package Includes: Online Course, 180-day access to the course and labs, digital courseware.

Registration
Once you register for this course, you will receive a reply to your request within 1 business day from our friendly training staff to verify the Microsoft Online Courses Package of your choice.  Once a member of our staff has verified your payment details, you will receive your login credentials to begin taking the online Microsoft course.
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About this course
The focus of this 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.

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

Prerequisites
Before attending this course, students must have:
  • Experience of querying data using Transact-SQL

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
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
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
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
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
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
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
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
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
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