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Data Analysis with Multidimensional Modelling

4.9(3,226 Ratings)
Duration
2 Days
Upcoming Batch
28 December 2026 - 29 December 2026
Batch Options
8 hours & 4 hours
Language
English / Arabic

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.

Course Content

3 modules · 10 topics
01 Module 1: Introduction to Business Intelligence and Data Modelling5 topics
  • 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
02Module 2: SCD and Dimensions with Cube3 topics
  • Working with Dimensions
  • Working with Measures and Measures Group
  • MDX and calculation to Cubes
03Module 3: Tabular Data Model with Analysis Services2 topics
  • Creating a Tabular Data Model
  • Using DAX to Create Calculated Columns and Measures in a Tabular Data Model

Schedule Dates

4 upcoming batches
Session Type
Physical sessions run at our training facility.
Data Analysis with Multidimensional Modelling
Batch DatesDurationBatch OptionsLanguageAction
28 December 2026 - 29 December 2026Next2 Days8 hours & 4 hoursEnglish / Arabic
29 March 2027 - 30 March 20272 Days8 hours & 4 hoursEnglish / Arabic
05 July 2027 - 06 July 20272 Days8 hours & 4 hoursEnglish / Arabic
11 October 2027 - 12 October 20272 Days8 hours & 4 hoursEnglish / Arabic

Can’t find a suitable date? Request a schedule that fits your team.

Request More Information

FAQs

Who is this course intended for?

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.

What are the prerequisites for enrolling in this course?

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

 

Will there be hands-on exercises?

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.

What skills will I gain from this course?

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.
How We Deliver

Flexible Training Options to Meet Your Needs

Choose how you learn — live online, in-classroom, at your workplace, or internationally. CounselTrain delivers certified IT training across the UAE in the format that fits your team.

Select the method that best suits your needs.

Online Instructor-Led Training

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

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Highlights

Live SessionsRecorded AccessGlobal

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Upcoming Batch
28 December 2026 - 29 December 2026