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Home > Developing Sql Data Models (#20768)

Developing SQL Data Models (#20768)  

- Learnfast is a Microsoft Silver Learning Partner. This is an authorised Microsoft Official Course (MOC).

The focus of this 3-day 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.

 

 

Features & Benefits

  •  This is an authorised Microsoft Official Course (MOC). 

         

  • Attendees will learn practical skills which can be applied in the work environment.
  • Even though Microsoft retired the certification exams for MCSA/E/D certifications, we will still provide you with a Microsoft Certificate of Completion of your course.
  • Take full advantage of our new Hybrid Learning by attending on campus or virtually. Have all your classes ready to be downloaded and watched, anytime, anywhere. (Read More) 

         

Outcomes & Objectives

After completing this course, learners 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
  • Pricing & Payment Options

    NEW SECTION
  • Duration

    In Class/Virtual Class, Hybrid Learning (Learn More)
    • 3 Days (08:30 – 16:00) Classes are  presented via our Hybrid Learning allowing  learners the flexibility to attend on campus or in the comfort of their home or workplace.

     
  • Course Prerequisites

    Before attending this course, learners must have:

     

    • Experience of querying data using Transact-SQL
  • Who Should Attend

    The primary audience for this course is database professionals who need to fulfill 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

Our Delivery Methods

Our innovative "myWay” learning methodology is built around the students individual learning requirement, allowing each student to learn in a style that is most suitable for their skills set, knowledge and schedule.

Instructor-Led Classes

Reach your full potential through our “myWay Instructor-Led” classes combined with interactive lessons, supporting video content, practical assignments and in field experience, done during the traditional 08:00 – 16:00 working day.

Online Mentored Learning

Do a course at your pace via our “myWay Online Mentored Learning”, combining self-study with supported interactive online video lectures, an online course mentor, extra resources, questionnaires and more, all supported via out Online Student Portal.

Part Time Mentored Learning

Designed for the working professional, our part time programmes provides you with the flexibility and benefit of our myWay Blended Learning with at home exercises/assignments and mentored or in-class lectures at a manageable schedule and pace.

Our Hybrid Delivery Methods

Our Hybrid Delivery Methods

myWay Hybrid Learning is a technology mediated delivery method that extends the benefit of flexibility and technology to all students. Each Hybrid delivery method is described in the section below.

#AnywhereAnytime

Have all your classes ready to be downloaded and watched, anytime, anywhere.

#NoStudentLeftBehind

Never miss a classs because of health, traffic, or transport issues.

#Flexibility

A personalized class schedule, attend class on campus, virtually or both.

 

In Class or Virtual Class Based Learning

A technology mediated delivery method allowing campus based class or virtual class attendance, or a combination of both. Classes can be in the form of lecture based or mentored based.

 

Mentored Online Learning

A technology mediated, self paced online delivery method with personal mentorship.

Important Notes

  • Learners to arrive at the training venue from 08:00 in preparation for 08:30 starting time 
  • Bookings are only confirmed upon receipt of the proof of payment or an official company purchase order. 
  • For full day, on campus courses, Learnfast will supply you with a computer to use for training (if applicable),& tea/coffee and a full lunch. Catering is not included for On-Site training and laptops are available for hire at an additional cost if required. 
  • Cancellation or rescheduling requests must be in writing and reach us via email at least 5-10 working days prior to the course commencement date. Full course fees will be retained for no shows. 
  • Virtual learners are required to have a stable internet connection & a working headset available for sound purposes.  
  • Learners who use their own laptops are fully responsible to ensure that administration rights, software installations, etc. are working sufficiently prior to training. 
  •  Learnfast reserves the right to cancel or postpone dates if we require to do so and undertake to inform clients in writing and telephonically of these changes. 
  • Learnfast is not responsible for costs associated with cancellation of classes such as flight and accommodation for clients. 
Module 1: Introduction to Business Intelligence and Data Modeling
This module introduces key BI concepts and the Microsoft BI product suite.
 
  • Introduction to Business Intelligence
  • The Microsoft business intelligence platform
 

Module 2: Creating Multidimensional Databases
This module describes how to create multidimensional databases using SQL Server Analysis Services.
 
  • Introduction to Multidimensional Analysis
  • Creating Data Sources and Data Source Views
  • Creating a Cube
  • Overview of Cube Security
  • Configure SSAS
  • Monitoring SSAS
 

Module 3: Working with Cubes and Dimensions
This module describes how to implement dimensions in a cube.
 
  • Configuring Dimensions
  • Defining Attribute Hierarchies
  • Sorting and Grouping Attributes
  • Slowly Changing Dimensions
 

Module 4: Working with Measures and Measure Groups
This module describes how to implement measures and measure groups in a cube.
 
  • Working with Measures
  • Working with Measure Groups
 

Module 5: Introduction to MDX
This module describes the MDX syntax and how to use MDX.
 
  • MDX fundamentals
  • Adding Calculations to a Cube
  • Using MDX to Query a Cube
 

Module 6: Customizing Cube Functionality
This module describes how to customize a cube.
 
  • Introduction to Business Intelligence
  • The Implementing Key Performance Indicators
  • Implementing Actions
  • Implementing Perspectives
  • Implementing Translations
 

Module 7: Implementing a Tabular Data Model by Using Analysis Services
This module describes how to implement a tabular data model in Power Pivot.
 
  • Introduction to Tabular Data Models
  • Creating a Tabular Data Model
  • Using 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.
 
  • DAX Fundamentals
  • Using 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.
 
  • 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
  • Campus
    Start Date
    End Date
    Type
    Book Now
  • 15 July 2024
    17 July 2024
    Full Time
  • 19 August 2024
    21 August 2024
    Full Time
  • 09 September 2024
    11 September 2024
    Full Time
  • 14 October 2024
    16 October 2024
    Full Time
  • 11 November 2024
    13 November 2024
    Full Time
  • Campus
    Start Date
    End Date
    Type
    Book Now
  • 15 July 2024
    17 July 2024
    Correspondence
  • 19 August 2024
    21 August 2024
    Correspondence
  • 09 September 2024
    11 September 2024
    Correspondence
  • 14 October 2024
    16 October 2024
    Correspondence
  • 11 November 2024
    13 November 2024
    Correspondence
  • Campus
    Start Date
    End Date
    Type
    Book Now
  • 15 July 2024
    17 July 2024
    Full Time
  • 19 August 2024
    21 August 2024
    Full Time
  • 09 September 2024
    11 September 2024
    Full Time
  • 14 October 2024
    16 October 2024
    Full Time
  • 11 November 2024
    13 November 2024
    Full Time

By completing the below online booking, a booking confirmation will be sent out and an invoice will be generated. A place will be reserved on this course and you are expected to attend. If you require a quote first please contact Learnfast offices and speak to a sales consultant.

Developing SQL Data Models (#20768)





  1. By booking for this course, an invoice will be generated and you will be liable for the payment of this invoice. If you require a quote, please contact The CAD Corporation Offices.
  2. After the generation of the invoice a training confirmation will be emailed using the details provided above.
  3. The CAD Corporation retains the rights to change this calendar without any notification.
  4. Tea/coffee and a light lunch will be provided.
  5. All university students will receive a 10% discount for cash payments.
  6. The minimum notice of cancellation is 5 (five) working days prior to the course commencement date. If you fail to do so the full amount is payable.
  7. Students are to be at the training venue by 08h00 in preparation for a 08h30 start time.

As a valued friend of Learnfast, we take your privacy seriously. The POPI Act comes into effect on 1 July 2021 and, we would like to assure you that we treat your information with sensitivity and confidentiality.

By filling in this form, you agree to receive newsletters and communication from Learnfast.
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As a valued friend of Learnfast, we take your privacy seriously. The POPI Act comes into effect on 1 July 2021 and, we would like to assure you that we treat your information with sensitivity and confidentiality.

By filling in this form, you agree to receive newsletters and communication from Learnfast.
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