Data Warehouse Dimensional Design Foundations Course

Name: Data Warehouse Foundations and Dimensional Design Course
Availability: InStock

Turn reporting needs and source data into dimensional models, loading plans, quality controls, and an operable warehouse design.

Data Warehouse Dimensional Design Foundations Course

At a glance

Duration: 1 Week
Format: Classroom
Cities: Tashkent, Tokyo, Manama, San Diego, Bangkok, Vienna and more
Next session: 18 – 22 October 2026, Tashkent
Average fee: 5,800 €

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Data Warehouse Foundations and Dimensional Design Course

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Overview

Data Warehouse Foundations and Dimensional Design Course is a one-week course for data analysts, database professionals, BI developers, reporting specialists, and technical staff, who leave with a Data Warehouse Design Pack. Participants translate reporting needs into warehouse requirements, map sources, define grain, design facts and dimensions, plan ETL and ELT flows, specify quality and metadata controls, and prepare testing, access, loading, and operating procedures. Agile Leaders Training Center develops data warehouse foundations and dimensional design capability.

Who Should Attend

Data analysis functions responsible for trusted analytical data
Database functions responsible for structures, loading, and access
Business intelligence functions responsible for semantic models and reporting sources
Data engineering functions beginning warehouse design and integration work
Reporting functions responsible for requirements, measures, and validation

The course assumes participants can read tables, keys, and basic SQL queries, and leaves out advanced database administration, cloud-platform configuration, programming, and certification preparation.

Departments and Industries

The course supports departments and industries building shared analytical data for reporting and decisions.

Data, analytics, business intelligence, and information technology
Finance, operations, performance management, and internal audit
Healthcare, education, retail, and hospitality
Manufacturing, transportation, utilities, and construction
Financial services, telecommunications, technology, and professional services

Learning Objectives

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

Build warehouse requirements and architecture decisions
Analyze sources, mappings, grain, facts, and dimensions
Apply star-schema and dimensional-modeling methods
Design ETL and ELT loading and quality controls
Evaluate warehouse tests, access, metadata, and operations
Create a data warehouse design pack

Course Agenda

Day 1: Frame Warehouse Requirements

Analytics Need and Subject-Area Canvas
Stakeholder Query and Measure Inventory
Source System and Data Ownership Map
Warehouse Scope and Architecture Decision
Data Warehouse Requirement Catalogue

Day 2: Design the Dimensional Model

Business Process and Grain Declaration
Fact Table and Measure Specification
Dimension Table and Attribute Design
Star Schema Relationship Diagram
Conformed Dimension Bus Matrix

Day 3: Map and Load Warehouse Data

Source-to-Target Mapping Sheet
Staging Area and Integration Flow
ETL and ELT Selection Matrix
Slowly Changing Dimension Method
Incremental Load and Recovery Plan

Day 4: Control Quality and Operations

Data Quality Rule Register
Metadata and Lineage Catalogue
Warehouse Reconciliation Test Pack
Role and Data Access Matrix
Load Monitoring and Support Runbook

Day 5: Practice Warehouse Design

Exercise: Translate Reporting Needs into Requirements
Exercise: Declare Grain and Design a Star Schema
Exercise: Map Sources and Plan Data Loads
Exercise: Validate Quality, Security, and Operations
Capstone: Data Warehouse Design Pack

Practical Exercises

The course uses suggested activities based on reporting needs in healthcare, retail, manufacturing, and financial services.

Suggested activity: convert decision questions into subject areas, measures, sources, scope, and warehouse requirements.
Suggested activity: declare grain and design fact tables, dimensions, keys, relationships, and conformed attributes.
Suggested activity: build source mappings and loading steps with quality, history, reconciliation, and recovery controls.
Suggested activity: assemble a design pack linking architecture, models, tests, access, metadata, monitoring, and support.

FAQs

Who suits data warehouse foundations and dimensional design training, and what does it assume?

Data analysis, database, BI, reporting, and beginning data-engineering functions suit the training; it assumes familiarity with tables, keys, and basic SQL queries.

How does data warehouse training differ from database administration training?

Data warehouse training concentrates on analytical requirements, dimensional models, integration, history, quality, and reporting use, while database administration training concentrates on platform configuration, availability, backup, and technical operation.

Why is grain important in dimensional design?

Grain states what one fact-table row represents, guiding measures, dimensions, keys, loading rules, and valid aggregation before the model is built.

When should ETL or ELT be used in a data warehouse?

ETL or ELT should be selected according to target-platform capability, transformation location, data volume, governance, lineage, operational control, team skills, and recovery needs.

How should a data warehouse design be tested?

A warehouse design should be tested through source reconciliation, row and measure checks, relationship validation, history rules, access tests, load monitoring, failure handling, and reporting acceptance.

Conclusion

Participants take back a Data Warehouse Design Pack containing requirements, architecture decisions, grain, facts, dimensions, source mappings, load plans, quality rules, metadata, tests, access, monitoring, and support procedures. It changes disconnected reporting extracts into a traceable warehouse design. The pack supports review, build planning, validation, operation, and controlled extension.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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Showing 61-74 of 74 events

Location	Dates	Duration	Mode	Price
Porto	Week 32, 2027 9 – 13 August 2027	1 Week	Onsite	€5,700
Tbilisi	Week 33, 2027 16 – 20 August 2027	1 Week	Onsite	€5,000
Barcelona	Week 35, 2027 30 August – 3 September 2027	1 Week	Onsite	€5,700
Cairo	Week 36, 2027 6 – 10 September 2027	1 Week	Onsite	€4,100
Abu Dhabi	Week 36, 2027 6 – 10 September 2027	1 Week	Onsite	€4,700
Paris	Week 37, 2027 13 – 17 September 2027	1 Week	Onsite	€5,700
Singapore	Week 37, 2027 13 – 17 September 2027	1 Week	Onsite	€5,700
Kuwait	Week 37, 2027 19 – 23 September 2027	1 Week	Onsite	€5,500
Milan	Week 39, 2027 27 September – 1 October 2027	1 Week	Onsite	€5,700
Seoul	Week 39, 2027 27 September – 1 October 2027	1 Week	Onsite	€10,000
London	Week 40, 2027 4 – 8 October 2027	1 Week	Onsite	€5,700
Rome	Week 41, 2027 11 – 15 October 2027	1 Week	Onsite	€5,700
Trabzon	Week 41, 2027 17 – 21 October 2027	1 Week	Onsite	€6,800
Sharm El-Sheikh	Week 42, 2027 18 – 22 October 2027	1 Week	Onsite	€4,100

Frequently asked questions

What does this course cover?

OverviewData Warehouse Foundations and Dimensional Design Course is a one-week course for data analysts, database professionals, BI developers, reporting specialists, and technical staff, who leave with a Data Warehouse Design Pack. Participants translate reporting needs into warehouse requirements, map sources, define grain, design facts and dimensions,…

Are training dates available?

Yes. Available dates and destinations are listed in the course dates section on this page.

How can I register?

Choose an available date on this page and complete the registration form, or send a programme enquiry.

Can I download the course brochure?

Yes. Use the brochure download link provided on this page.

Data Warehouse Dimensional Design Foundations Course