20768: Developing SQL Data Models

Developing SQL Data Models

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    About this Course

    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.

    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
    • The secondary audiences for this course are ‘power’ information workers/data analysts.

     

    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

    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 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

    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.

    Venue:  

    Address:
    Online Event

    Description:

    Live Online Training

    Get the same training you expect in the classroom without leaving your office or home. These are NOT recorded classes. They are LIVE sessions with an expert instructor. We use the latest in video conferencing technologies and audio so you can confidently participate in any class just like being right there in person. We guarantee the effectiveness of our online training delivery approach that we will give you your money back if you are not totally satisfied.  Ask us for a demo.

    Online class requirements:

    • Moderate to fast Internet
    • A phone or computer headset is required in order to hear the instructor/moderator). You can use Computer Audio (VoIP) or you can dial in from a regular phone.  For convenience, we recommend a hands-free headset or phone.
    • Training software must be installed on your computer (trial versions are acceptable)
    • RECOMMENDED: Dual Monitors or computers. For optimal online learning experience, we recommend participants have dual monitors or two computers. Your online classroom credentials allow you to join multiple times from multiple computers. Participants should use one monitor or computer to view the instructor’s shared screen and another monitor or computer to work with the software.

    What happens when you enroll in an online class

    When you register for an online class, you will receive a welcome email followed by login access to the Citrix GoToTraining virtual classroom. A workbook (printed copy or eBook) will be sent to you prior to the start of class.

    Online Training Advantages

    Convenience: You don’t have to travel and can attend from your home, office or anywhere with an internet connection. Our online classes are conducted using GoToTraining, a more robust version of the popular GoToMeeting screen sharing and conferencing platform. To accommodate multiple time zones, courses are typically scheduled from 10am – 5pm Eastern with a one-hour lunch break at 12:30 – 1:30 pm Eastern and a 10-minute break in the morning and afternoon. When conducting custom online course for your group, class times can be modified to accommodate your timezone.

    Interactive Learning: Our online training is fully interactive. You can speak and chat with the instructor and classmates at any time. Various interactive techniques are used in every class. Our small class sizes (typically 4 – 8 students), allow our instructors to focus on individual performance and issues and to work closely with you to meet your unique needs. Classes are designed to be a hands-on learning experience, providing opportunities for you to try your new skills while the instructor is available for review, questions, and feedback. You have the option to give the instructor permission to view your computer to provide one-on-one assistance when needed.

    GSA Schedule: 47QTCA19D008F