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Data Analysis with Multidimensional Modelling

  • 4.9(3,226 Rating)

Duration

2 days

Upcoming Batch

22 June 2026

Batch Options

8 hours & 4 hours

Language

English / Arabic
Overview Schedule Dates Course Content FAQs

Course Overview

“Data Analysis with Multidimensional Modelling” explores advanced techniques for analyzing and interpreting complex datasets through multidimensional models. This course focuses on leveraging multidimensional structures to enhance data analysis, enabling users to perform sophisticated queries and derive actionable insights. It covers the fundamentals of multidimensional analysis, including OLAP (Online Analytical Processing) concepts, cube design, and the implementation of hierarchies and measures. Participants will gain practical skills in building and managing multidimensional models, ensuring they can effectively manipulate and analyze large volumes of data across various dimensions. The course emphasizes the application of these techniques to real-world scenarios, helping professionals to make informed decisions based on comprehensive data analysis.

IT Course Offerings with Flexible Scheduling Options to Fit Your Life

We know that flexibility is key to effective learning and professional development. That’s why CounselTrain offers multiple delivery styles for all IT training courses in Ethiopia, so every learner can access the information they need at their own pace and convenience.

Online Instructor-Led Training

Learn from the comfort of your workplace or at home through live virtual sessions led by expert trainers.

Classroom Training

Participate in interactive, face-to-face training in our top 5-star training facilities in Ethiopia

Onsite Training

Learn a customized curriculum in your workplace to ensure the most impact and team participation.

Overseas Training

Participate in our international training sessions and improve your abilities with world-class instructors.
This course includes:
  • Soft copy of Courseware
  • Certificate of Course Completion
  • Experienced and Professional Trainer
  • Lab and Exercises During Training
  • Sample Questions for Exam Prepration
  • Mock Test on the Last Day of Training
  • Exam Registration Guidance
  • 5-Star Training Environmment
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Name

Schedule Dates

22 June 2026 - 23 June 2026
Data Analysis with Multidimensional Modelling
28 September 2026 - 29 September 2026
Data Analysis with Multidimensional Modelling
28 December 2026 - 29 December 2026
Data Analysis with Multidimensional Modelling
29 March 2027 - 30 March 2027
Data Analysis with Multidimensional Modelling

Course Content

  • Overview of Business Intelligence and Data Models
  • Comparatively Difference between MS SQL Database and Cubes
  • Connection MS SQL Database with SSIS and SSAS Cubes
  • Cubes Overview and Discussion
  • Working Examples of Data Source and Multidimensional Database Creation and connection

  • Working with Dimensions
  • Working with Measures and Measures Group
  • MDX and calculation to Cubes

  • Creating a Tabular Data Model
  • Using DAX to Create Calculated Columns and Measures in a Tabular Data Model

FAQs

This course is designed for individuals seeking to enhance their data analysis capabilities and gain proficiency in multidimensional modelling and business intelligence tools. It is suitable for BI professionals, data analysts, and anyone interested in learning advanced data modelling techniques.

Basic knowledge of databases and SQL is recommended. Familiarity with business intelligence concepts will be beneficial but is not required.

 

Yes, the course includes practical exercises and hands-on labs to ensure that you can apply the concepts and techniques learned in real-world scenarios.

You will learn to:

  • Understand and utilize BI concepts and data models.
  • Differentiate between MS SQL databases and cubes.
  • Connect and integrate databases using SSIS and SSAS.
  • Create and manage multidimensional databases.
  • Work with dimensions, measures, and measure groups in cubes.
  • Use MDX for cube calculations.
  • Develop tabular data models and use DAX for formulating calculated columns and measures.

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