Dimensional Data Modeling training by Tekslate will help you master the concepts of Business Intelligence and Data Warehouse. It will make you proficient in building applications by leveraging capabilities of Kimball Lifecycle in a Nutshell, Facts, Drilling Down, Up, and Across, Dimension Table Keys, etc. You will also be allowed to work on the real-time implementation of Dimensional Data Modeling projects under the guidance of a professional trainer during training, which will help in clearing the Dimensional Data Modeling Certification Exam.  

Key Features

  • 30 hours of Instructor Led Dimensional Data Modeling Training
  • Lifetime Access to Recorded Sessions
  • Practical Approach
  • 24/7 Support
  • Expert & Certified Trainers
  • Real World use cases and Scenarios
Trusted By Companies Worldwide

Course Overview

After the successful completion of Dimensional Data Modeling training at Tekslate, the participant will be able to

  • Get an overview of Data warehousing concepts, data modeling, and BI life cycle.
  • Gain knowledge on concepts of Dimensional Data Modeling.

  • Understand the relation between business metrics and dimensional data.

  • Gain knowledge on similarities and differences between relational and dimensional data models.

  • Build a logical dimensional model.

  • Understand how dimensional data is used to deliver business analytics and OLAP capabilities.

  • There is a high market demand for Certified Dimensional Data Modelers in the industry and high salary packages are being offered to them.

  • On average, a skilled Dimensional Data Modeler earns 116,606 USD per annum.

  • Top multinational companies are recruiting Dimensional Data Modeling professionals.

The following job roles will get benefited from learning this course:

  • Aspirants aiming for a career in the prospective field.
  • Project managers

  • Data warehouse architects

  • Data Modelers

  • Database administrators

  • Business analysts

  • ETL and BI application developers

  • Professionals who want to extend their skill-set with advanced technologies.

As such, there are no prerequisites for learning Dimensional Data Modeling course. This course can be pursued regardless of learner’s skills.

We will provide two real-time projects under the guidance of a professional trainer, who will explain you on how to acquire in-depth knowledge on all the concepts involved in these projects.


Course Curriculum

  • Professional Responsibilities
  • Professional Boundaries
  • An Engineer’s View
  • Beware the Objection Removers
  • What Does the Central Team Do?
  • Avoid DW/BI Isolation
  • Implementation Analysis & Paralysis
  • Kimball Methodology
  • Kimball Lifecycle in a Nutshell
  • Think Critically When Applying Best Practices
  • Eight Guidelines for Low-Risk Enterprise Data Warehousing.
  • Gathering Requirements
  • Business Requirements
  • Requirements Gathering Dos and Don’ts
  • Surprising Value of Data Profiling
  • Organizing around Business Processes
  • Focus on Business Processes
  • Identifying Business Processes
  • Business Process Decoder Ring
  • Relationship between Strategic Business Initiatives and Business Processes.
  • Requirements
  • Making the Case for Dimensional Modeling
  • Is ER Modeling Hazardous to DSS?
  • A Dimensional Modeling Manifesto
  • Enterprise Data Warehouse Bus Architecture
  • Divide and Conquer, The Matrix
  • The Matrix Revisited
  • Drill Down into a Detailed Bus Matrix
  • Integration Instead of Centralization
  • Integration for Real People Data Stewardship: The First Step to Quality And Consistency
  • To Be or Not To Be Centralized
  • Contrast with the Corporate Information Factory
  • Differences of Opinion
  • Don’t Support Business Intelligence with a Normalized EDW.
  • Basics of Dimensional Modeling
  • Fact Tables and Dimension Tables
  • Drilling Down, Up, and Across
  • Myths about Dimensional Modeling
  • Dangerous Preconceptions
  • Fables and Facts.
  • Granularity, Declaring the Grain, Keep to the Grain in Dimensional Modeling
  • Types of Fact Tables
  • Fundamental Grains
  • Factless Fact Tables
  • Sound Like Jumbo Shrimp
  • Parent-Child Fact Tables
  • Patterns to Avoid When Modeling Header/Line
  • Item Transactions
  • Fact Table Keys and Degenerates
  • Fact Table Surrogate Keys
  • Reader Suggestions on Fact Table Surrogate Keys
  • Miscellaneous Fact Table Design Patterns
  • Put Your Fact Tables on a Diet
  • Keeping Text Out of the Fact Table
  • Dealing with Nulls in a Dimensional Model.
  • Dimension Table Keys
  • Surrogate Keys
  • Keep Your Keys Simple
  • Date and Time Dimension Considerations
  • It’s Time for Time
  • Surrogate Keys for the Time Dimension
  • Time Dimension Tables
  • Smart Date Keys to Partition Fact Tables
  • Handling All the Dates
  • Miscellaneous Dimension Patterns
  • Data Warehouse Role Models
  • Mystery Dimensions, De-Clutter with Junk Dimensions
  • Showing the Correlation Between Dimensions
  • Causal (Not Casual) Dimensions
  • Resist Abstract Generic Dimensions
  • Hot-Swappable Dimensions
  • Accurate Counting with a Dimensional Supplement
  • Slowly Changing Dimensions
  • Perfectly Partitioning History with Type SCD
  • Many Alternate Realities, Monster Dimensions
  • When a Slowly Changing Dimension Speeds Up
  • When Do Dimensions Become Dangerous?
  • Slowly Changing Dimensions Are Not Always as easy as
  • Snowflakes, Outriggers, and Bridges
  • A Trio of Interesting Snowflakes
  • Help for Dimensional Modeling
  • Managing Bridge Tables
  • The Keyword Dimension
  • Dealing with Hierarchies
  • Maintaining Dimension Hierarchies
  • Help for Hierarchies
  • Five Alternatives for Better Employee Dimensional Modeling
  • Alternate Hierarchies.
  • DocApp
  • Users and Group
  • Alias Sets
  • Lifecycle
  • Workflows
  • Hands-on with Live Example


Our trainers are well experienced professionals and certified in working with front-end development technologies.

We will record all the Live sessions you go through, and we will send the recording of the class you missed.

For practical execution, our trainer will provide server access to the student. 

All our training classes are live. This is to solve all the student queries directly with the trainer.

Live online training means, our trainer will be in online with you to solve your issues.
Pre-recorded training means, there will be no trainer available to solve your issues.

You can contact our Tekslate support team, or you can send an email to info@tekslate.com for your queries.

Yes, you can access the course material after completing course by the recorded training videos we shared with you during training.

To avail all discounts offered by Tekslate, you need to visit the website regularly. However, there will be a group discount for 2 or more participants.

Yes, you will get your refund by cancelling some administration fee from the course. But, you should cancel your enrolment within 48 hours of registration, and then the refund will be retained within 30 days of a request.


Currently, there is no official Certification Exam available for Dimensional Data Modeling.

Tekslate offers the course completion certificate of this course based on the candidate’s performance in the project implementation after the completion of training.

By the end of the training, our course participants will be able to meet all the skills required for the job descriptions posted by the companies for the role of Dimensional Data Modeler.