Dimensional Modelling Training in New Zealand

  • Learn via: Online Instructor-Led / Classroom Based / Onsite
  • Duration: 3 Days
  • Level: Fundamentals
  • Price: From NZD 8,850 +TAX
  • Upcoming Date:
  • UK & New Zealand Based Global Training Provider

Dimensional modelling is a core component of modern business intelligence solutions, providing the foundation for effective reporting, analytics, and decision-making. This two-day instructor-led course introduces the principles of dimensional modelling and explains how it supports data warehouses and data marts.

Designed for learners with no previous experience of dimensional modelling, the course explores data warehousing concepts, analytical requirements gathering, dimensional design techniques, and physical implementation considerations. You will learn how to design fact and dimension tables, understand modern data movement approaches, and explore how online analytical processing (OLAP) technologies support analytical workloads.

This course is vendor and product independent, allowing learners to apply the concepts across a wide range of business intelligence platforms.



Prerequisites

There are no formal prerequisites for this course. A basic understanding of business intelligence or data concepts may be beneficial but is not required.

Target audience

This course is designed for:

  • Business analysts responsible for gathering analytical requirements and designing dimensional models
  • Data professionals working with business intelligence and analytics solutions
  • IT professionals responsible for implementing dimensional models and OLAP solutions
  • Anyone looking to build a strong foundation in dimensional modelling and data warehouse design
We can organize this training at your preferred date and location. Contact Us!

HAVELSAN
ASELSAN
PepsiCo Türkiye
JTI TÜTÜN ÜRÜNLERİ SANAYİ A.Ş.
ING Bank
DHL
MASTERCARD
Huawei
TotalEnergies
Mercedes-Benz Türk A.Ş.
Goodyear
FORD OTOMOTIV SANAYI A.S.
3M COMPANY
Schneider Electric
Central Bank of Azerbaijan
BP Petrolleri
Procter & Gamble (P&G)
Qatar Foundation
Bank Of China
GlaxoSmithKline (GSK)
MORGAN STANLEY & CO Inc
Novo Nordisk
DEUTSCHE BANK
Azerbaycan Cumhuriyeti Emek ve Ahalinin Sosyal Güvenliği Bakanlığı
ACCENTURE

What You Will Learn

By the end of this course, learners will be able to:

  • Describe data warehousing concepts and the role of dimensional modelling
  • Explain the process of gathering analytical requirements for dimensional models
  • Distinguish between facts, measures, and dimensions when designing analytical solutions
  • Design dimensional models using industry-recognised modelling techniques
  • Describe the physical implementation of dimensional models
  • Explain how OLAP technologies support analytical reporting and business intelligence

Training Outline

Introduction to data

  • Understand the role of data in business intelligence
  • Compare online transaction processing and online analytical processing
  • Explore the principles of data warehouse design
  • Understand the fundamentals of dimensional modelling
  • Explain cardinality and data grain

Introduction to modelling

  • Gather analytical business requirements
  • Explore conceptual, logical, and physical modelling approaches
  • Understand facts and dimensions
  • Compare star and snowflake schemas
  • Explore relationships between fact and dimension tables
  • Consider security requirements within dimensional models

Designing dimension tables

  • Design attributes and hierarchies
  • Understand business keys and surrogate keys
  • Create conformed dimensions
  • Design time dimensions
  • Implement role-playing dimensions
  • Explore slowly changing and rapidly changing dimensions

Designing fact tables

  • Define facts and measures
  • Compare different types of measures
  • Understand additive, semi-additive, and non-additive measures
  • Explore different fact table designs
  • Understand the role of foreign keys

Advanced dimension techniques

  • Design degenerate dimensions
  • Explore parent-child dimensions
  • Understand bridge tables
  • Apply snowflaking where appropriate
  • Explore synonym dimensions
  • Design mini dimensions
  • Understand hot-swappable dimensions
  • Explore multi-valued dimensions
  • Understand bitmap dimensions
  • Design junk dimensions
  • Explore step dimensions
  • Perform first and last analysis

Data movement

  • Introduce extract, transform, and load processes
  • Understand staging areas
  • Explore the medallion architecture
  • Apply data transformation and cleansing techniques
  • Understand how metadata supports data quality and governance

Physical storage and aggregation

  • Understand aggregation storage techniques
  • Explore table partitioning
  • Select appropriate data types
  • Understand index design considerations
  • Explore compression techniques
  • Design aggregations for analytical performance
  • Compare multidimensional, relational, and hybrid OLAP approaches
  • Understand modern OLAP terminology
  • Optimise fact table performance
  • Apply indexing strategies within star schemas

Common dimensional modelling mistakes

  • Review the twelve most common dimensional modelling mistakes
  • Identify approaches for avoiding common design issues

Exams and assessments

There are no formal exams included in this course. Learners reinforce their understanding through instructor-led discussions and practical activities delivered throughout the course.

Hands-on learning

This course includes:

  • Scenario-based exercises to apply dimensional modelling concepts
  • Guided discussions based on real-world business intelligence scenarios
  • Practical activities covering dimensional design techniques and analytical modelling

Why Choose Us

Experience Dimensional Modelling in New Zealand through Bilginç IT Academy's live and interactive virtual classroom environment, accessible from your home, office, or any location. Connect with expert trainers in real time and bring the energy of classroom learning into the digital experience.

  • Live Instructor-Led Sessions: Join scheduled training sessions with your instructor and fellow delegates in real time.
  • Interactive Learning Experience: Take part in discussions, practical exercises, group activities, and Q&A sessions throughout the course.
  • Expert Trainer Network: Learn from experienced trainers with strong industry backgrounds and practical field expertise.
  • Over 30 Years of Training Expertise: Benefit from Bilginç IT Academy's long-standing experience in delivering professional training since 1995.
  • Flexible and Scalable Delivery: Access live virtual classrooms from New Zealand and worldwide, with flexible planning options for individual and corporate training needs.

Experience Dimensional Modelling in a focused classroom environment in New Zealand. Bilginç IT Academy's carefully selected training venues provide a professional setting where delegates can interact directly with expert trainers and peers.

  • Experienced Trainers: Learn from specialists with extensive field experience and real-world knowledge.
  • Professional Training Venues: Attend courses in comfortable, well-equipped classrooms designed to support effective learning.
  • Focused Classroom Experience: Benefit from limited class sizes that encourage discussion, interaction, and personalized support.
  • Quality-Driven Learning: Develop practical skills through structured, up-to-date, and professionally designed training content.

Meet your team's training needs with Bilginç IT Academy's onsite Dimensional Modelling in New Zealand solution, delivered at your office or preferred location. Align your team's development with your business goals through a training experience tailored to your organization.

  • Tailored Course Content: Adapt the training program to your organization's projects, team structure, and specific business requirements.
  • Time and Cost Efficiency: Reduce travel, accommodation, and operational costs while maximizing the value of your training investment.
  • Team-Focused Learning: Help your employees develop around the same knowledge base and strengthen collaboration across your organization.
  • Simplified Planning and Tracking: Manage the training process, participant development, and organizational requirements with greater control.
Contact us for more detail about our trainings and for all other enquiries!

Dimensional Modelling Training Course in New Zealand Schedule

Join our public courses in our New Zealand facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

We can organize this training at your preferred date and location.
22 August 2026 (3 Days)
Auckland, Wellington, Christchurch
NZD 8,850 +TAX
01 September 2026 (3 Days)
Auckland, Wellington, Christchurch
NZD 8,850 +TAX
10 September 2026 (3 Days)
Auckland, Wellington, Christchurch
NZD 8,850 +TAX
17 September 2026 (3 Days)
Auckland, Wellington, Christchurch
NZD 8,850 +TAX
23 September 2026 (3 Days)
Auckland, Wellington, Christchurch
NZD 8,850 +TAX
02 October 2026 (3 Days)
Auckland, Wellington, Christchurch
NZD 8,850 +TAX
03 October 2026 (3 Days)
Auckland, Wellington, Christchurch
NZD 8,850 +TAX
06 October 2026 (3 Days)
Auckland, Wellington, Christchurch
NZD 8,850 +TAX

New Zealand, with vibrant and rapidly growing tech communities in Auckland, Wellington, and Christchurch, is carving out a global niche in innovative software solutions and specialized niche technology markets. The nation’s commitment to digital readiness is backed by the research excellence of the University of Auckland and Victoria University of Wellington, focusing on areas like Creative-tech, Agritech, and Health-tech innovation. New Zealand offers a unique and forward-thinking environment for digital learning, where agility and creative problem-solving are highly valued in the professional landscape. Our IT education services in New Zealand focus on high-demand skills such as Web Development, Agile Project Management, and Information Security. We provide the tools and expertise necessary for Kiwi professionals to lead technological change in an economy that prioritizes sustainability, innovation, and global connectivity.

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