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What You'll Learn

Master data warehousing fundamentals and build robust data warehouses. Learn to design, implement, and maintain efficient data warehouses to support data-driven decision making.

Course Benefits
Industry Certification

Internationally recognized qualification

Expert Instructors

Learn from industry professionals

Dedicated Support

Assistance during and after training

Practical Skills

Apply knowledge immediately

Comprehensive 5-day curriculum with all materials included
Hands-on exercises and real-world case studies
Valuable networking opportunities with peers and experts
Post-course resources and refresher materials
Training on Data Warehousing Fundamentals - Course Cover Image
Duration 5 Days
Level Advanced
Format In-Person

Course Overview

Featured

This course will provide a solid foundation for anyone looking to understand and work with data warehousing concepts and technologies. Participants will explore the key components of data warehousing, including data modeling, ETL (Extract, Transform, Load) processes, and data warehouse architecture. The course is designed to equip participants with the knowledge and skills necessary to design, implement, and manage data warehouses, ensuring data quality, integrity, and accessibility for business intelligence and decision-making processes.

Course Duration

5 Days

Who Should Attend

  • IT professionals looking to specialize in data warehousing.
  • Database administrators and developers seeking to enhance their skills.
  • Business analysts and data professionals involved in data management.
  • Project managers overseeing data warehousing projects.
  • Students and professionals aspiring to enter the field of data warehousing and business intelligence.

Course Impact

Organizational Impact

  • Strengthen strategic decision-making with a single, reliable source of business data.

  • Increase operational efficiency by streamlining reporting and reducing manual data work.

  • Foster a data-driven culture to uncover trends, reduce costs, and boost profitability.

Personal Impact

  • Gain in-demand skills for a modern IT or data career.

  • Progress into roles like data architecture, data engineering, or senior management.

  • Lead and champion scalable, secure data infrastructure initiatives with confidence.

Course Objectives

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

  • Understand the fundamental concepts and benefits of data warehousing
  • Learn about different data warehousing architectures and their components
  • Master data modeling techniques for designing dimensional data warehouses
  • Acquire knowledge of ETL processes and tools for data extraction, transformation, and loading
  • Explore online analytical processing (OLAP) concepts and technologies
  • Gain hands-on experience with data warehousing tools and software
  • Develop the ability to evaluate and select appropriate data warehousing solutions

Course Outline

Module 1: Introduction to Data Warehousing

  • Definition and characteristics of data warehouses
  • Differences between operational systems and data warehouses
  • Benefits of data warehousing for organizations
  • Data warehousing lifecycle and methodologies

Module 2: Data Warehouse Architecture

  • Components of a data warehouse: data sources, ETL, data warehouse, metadata repository
  • Data warehouse architectures: centralized, federated, data mart
  • Data warehouse implementation approaches: top-down, bottom-up, hybrid
  • Data warehouse performance and scalability

Module 3: Data Modeling for Data Warehousing

  • Dimensional modeling concepts: stars, snowflakes, and fact constellations
  • Entity-relationship modeling for data warehousing
  • Data warehouse design principles and best practices
  • Data quality and cleansing in data warehousing

Module 4: ETL Processes and Tools

  • ETL process overview: extraction, transformation, loading
  • Data extraction techniques: batch, incremental, real-time
  • Data transformation functions: cleansing, aggregation, filtering, joining
  • Data loading methods: bulk load, index creation, partitioning
  • ETL tools and technologies

Module 5: Online Analytical Processing (OLAP)

  • OLAP concepts and dimensions
  • Multidimensional data structures: cubes, hypercubes
  • OLAP operations: slicing, dicing, drilling down, roll-up
  • OLAP tools and technologies
  • Performance optimization for OLAP

Prerequisites

No specific prerequisites required. This course is suitable for beginners and professionals alike.

Course Administration Details

Customized Training

This training can be tailored to your institution needs and delivered at a location of your choice upon request.

Requirements

Participants need to be proficient in English.

Training Fee

The fee covers tuition, training materials, refreshments, lunch, and study visits. Participants are responsible for their own travel, visa, insurance, and personal expenses.

Certification

Upon successful completion of this course, participants will be issued with a certificate from Ideal Workplace Solutions certified by the National Industrial Training Authority (NITA) under License NO: NITA/TRN/2734.

Accommodation

Accommodation can be arranged upon request. Contact via email for reservations.

Payment

Payment should be made before the training starts, with proof of payment sent to outreach@idealworkplacesolutions.org.

For further inquiries, please contact us on details below:

Register for the Course

Select a date and location that works for you.

In-Person Training Schedules


January 2026
Date Days Venue Fee (VAT Incl.) Register
5 Jan - 9 Jan 2026 5 days Nairobi, Kenya KES 99,000 | USD 1,400 Enroll Now
5 Jan - 9 Jan 2026 5 days Cape Town, South Africa USD 3,500 Enroll Now
5 Jan - 9 Jan 2026 5 days Dubai, United Arabs Emirates USD 4,000 Enroll Now
5 Jan - 9 Jan 2026 5 days Zanzibar, Tanzania USD 2,200 Enroll Now
12 Jan - 16 Jan 2026 5 days Mombasa, Kenya KES 115,000 | USD 1,500 Enroll Now
12 Jan - 16 Jan 2026 5 days Kigali, Rwanda USD 1,800 Enroll Now
12 Jan - 16 Jan 2026 5 days Accra, Ghana USD 5,950 Enroll Now
12 Jan - 16 Jan 2026 5 days Kampala, Uganda USD 2,200 Enroll Now
19 Jan - 23 Jan 2026 5 days Dar es Salaam, Tanzania USD 2,000 Enroll Now
19 Jan - 23 Jan 2026 5 days Johannesburg, South Africa USD 3,100 Enroll Now
19 Jan - 23 Jan 2026 5 days Nakuru, Kenya KES 105,000 | USD 1,400 Enroll Now
19 Jan - 23 Jan 2026 5 days Dakar, Senegal USD 3,500 Enroll Now
26 Jan - 30 Jan 2026 5 days Pretoria, South Africa USD 3,100 Enroll Now
26 Jan - 30 Jan 2026 5 days Kisumu, Kenya KES 105,000 | USD 1,500 Enroll Now
26 Jan - 30 Jan 2026 5 days Naivasha, Kenya KES 105,000 | USD 1,400 Enroll Now
26 Jan - 30 Jan 2026 5 days Arusha, Tanzania USD 2,000 Enroll Now
5 Jan - 9 Jan 2026
5 days
Venue:
Nairobi, Kenya
Fee (VAT Incl.):
KES 99,000
USD 1,400
Enroll Now
5 Jan - 9 Jan 2026
5 days
Venue:
Cape Town, South Africa
Fee (VAT Incl.):
USD 3,500
Enroll Now
5 Jan - 9 Jan 2026
5 days
Venue:
Dubai, United Arabs Emirates
Fee (VAT Incl.):
USD 4,000
Enroll Now
5 Jan - 9 Jan 2026
5 days
Venue:
Zanzibar, Tanzania
Fee (VAT Incl.):
USD 2,200
Enroll Now
12 Jan - 16 Jan 2026
5 days
Venue:
Mombasa, Kenya
Fee (VAT Incl.):
KES 115,000
USD 1,500
Enroll Now
12 Jan - 16 Jan 2026
5 days
Venue:
Kigali, Rwanda
Fee (VAT Incl.):
USD 1,800
Enroll Now
12 Jan - 16 Jan 2026
5 days
Venue:
Accra, Ghana
Fee (VAT Incl.):
USD 5,950
Enroll Now
12 Jan - 16 Jan 2026
5 days
Venue:
Kampala, Uganda
Fee (VAT Incl.):
USD 2,200
Enroll Now
19 Jan - 23 Jan 2026
5 days
Venue:
Dar es Salaam, Tanzania
Fee (VAT Incl.):
USD 2,000
Enroll Now
19 Jan - 23 Jan 2026
5 days
Venue:
Johannesburg, South Africa
Fee (VAT Incl.):
USD 3,100
Enroll Now
19 Jan - 23 Jan 2026
5 days
Venue:
Nakuru, Kenya
Fee (VAT Incl.):
KES 105,000
USD 1,400
Enroll Now
19 Jan - 23 Jan 2026
5 days
Venue:
Dakar, Senegal
Fee (VAT Incl.):
USD 3,500
Enroll Now
26 Jan - 30 Jan 2026
5 days
Venue:
Pretoria, South Africa
Fee (VAT Incl.):
USD 3,100
Enroll Now
26 Jan - 30 Jan 2026
5 days
Venue:
Kisumu, Kenya
Fee (VAT Incl.):
KES 105,000
USD 1,500
Enroll Now
26 Jan - 30 Jan 2026
5 days
Venue:
Naivasha, Kenya
Fee (VAT Incl.):
KES 105,000
USD 1,400
Enroll Now
26 Jan - 30 Jan 2026
5 days
Venue:
Arusha, Tanzania
Fee (VAT Incl.):
USD 2,000
Enroll Now

Request Custom Training


We offer customized training solutions tailored to your organization's specific needs:

  • Training at your preferred location
  • Customized content to address your specific challenges
  • Flexible scheduling to accommodate your team
  • Cost-effective solution for training multiple employees
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Frequently Asked Questions

Find answers to common questions about this course

The goal is to provide a solid foundation in data warehousing, equipping you with the knowledge to understand its architecture, design principles, and strategic role in business intelligence.
A database stores live, transactional data, while a data warehouse stores aggregated, historical data from multiple sources, optimized for large-scale analysis.
You'll learn about data sources, the ETL process (Extract, Transform, Load), the central warehouse, and the business intelligence tools used for analysis and reporting.
It provides a single source of truth for all business data. This ensures consistency, accuracy, and enables faster, more reliable reporting and analysis for better decisions.
ETL is a core process where data is extracted from sources, transformed into a consistent format, and then loaded into the data warehouse for analysis.
Training on Data Warehousing Fundamentals

Next class starts 5 Jan 2026

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