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Data Analysis with Multidimensional Modelling

  • 4.9(3,226 Rating)

Duration

2 days

Language

English / Arabic

Batch Options

8 hours & 4 hours

Upcoming Batch

August 28, 2024
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.

Multiple Routes of Delivery to
Fit Your Timetable

We understand that flexibility is key to effective learning and development, especially in today’s dynamic work environment. That’s why we offer multiple delivery formats for our IT trainings in UAE. Whether you prefer the interaction of in-person classes, the convenience of live virtual training, or the independence of self-paced online learning, we have a solution tailored to your schedule. Our goal is to make professional growth accessible to everyone, allowing you to upskill without compromising your other commitments.

Online Instructor Led

Learn from the comforts of your home/office with our expert trainers via online platforms.

Classroom Training

Face-to-face physical classroom training with max interactions at our 5* training venues.

Onsite Training

Learn in your own environment from our expert trainers for maximum impact.

Overseas Training

Choose your desired country for learning with our expert trainers.
This course includes:
  • Soft copy of Courseware
  • Certificate of Course Complition
  • 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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Schedule Dates

03 March 2025 - 04 March 2025
Data Analysis with Multidimensional Modelling
03 June 2025 - 04 June 2025
Data Analysis with Multidimensional Modelling
03 September 2025 - 04 September 2025
Data Analysis with Multidimensional Modelling
03 December 2025 - 04 December 2025
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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