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10% OFF on all Courses – Enroll Now! - قريباً مع إدماير ترينينغز – مفاجآت وتدريبات جديدة بانتظاركم (Coming soon with Edmire Trainings – surprises and new trainings await you)

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Why this course?

Warehouse Architecture

OLTP vs OLAP, columnar storage and why warehouses changed everything.

Dimensional Modelling

Facts, dimensions and star schemas — the analytics design language.

Both Market Leaders

Snowflake and BigQuery hands-on — the names in every data job post.

Program Overview

Data Warehousing (Snowflake / BigQuery) teaches the analytical backbone of the modern data stack: why warehouses differ from databases (columnar, separated compute/storage), dimensional modelling with facts, dimensions and star schemas, slowly changing dimensions, modern ELT patterns (with a dbt orientation), and hands-on depth in both Snowflake (warehouses, time travel, micro-partitions) and BigQuery (datasets, partitioning, clustering, cost control). You design and load a working warehouse and serve real analytical queries from it.

Course Highlights:
  • Modern ELT Mindset: Load then transform — the pattern dbt made standard.
  • Snowflake Specifics: Virtual warehouses, time travel and zero-copy cloning.
  • BigQuery Specifics: Serverless model, partitioning and the art of not burning money.
  • Cost-Awareness Throughout: Warehouse bills are a skill — we teach it explicitly.
Prerequisites

Solid SQL. Our SQL course or equivalent — warehousing is SQL's analytical graduate school.

Edmire Certified

Earn the "Data Warehousing Professional" badge upon completing all modules and the hands-on final assessment.

Verifiable Credential

Tools & Libraries You'll Master

Snowflake
BigQuery
Star Schemas
Slowly Changing Dimensions
ELT & dbt Orientation
Cost Optimisation

Course Curriculum

5 Modules
Module 01
Warehouse Fundamentals

OLTP vs OLAP, columnar storage, compute/storage separation and the modern data stack map.

3 Hours
Module 02
Dimensional Modelling

Facts, dimensions, star schemas, grain decisions and slowly changing dimensions — the Kimball craft.

5 Hours
Module 03
Snowflake Hands-On

Warehouses and scaling, loading data, time travel, cloning and role-based access.

5 Hours
Module 04
BigQuery & ELT Patterns

Datasets, partitioning/clustering, cost control, and ELT workflow with dbt orientation.

4 Hours
Module 05
Warehouse Capstone, Assessment & Certification

Design, load and query a complete dimensional warehouse — presented and assessed.

3 Hours

Where This Can Take You

Data Warehouse Developer

The analytics backbone builder.

Analytics Engineer

The modern stack's hottest title.

BI Platform Owner

Serve the dashboards everyone trusts.

Data Engineer Path

Warehousing + pipelines = the full role.

Frequently Asked Questions

Q: Snowflake or BigQuery — which should I bet on?

Both lead, differently: Snowflake dominates cross-cloud enterprise adoption; BigQuery rules Google-stack and pay-per-query economics. Job listings name each constantly — hands-on in both is the safest employable position, hence the course design.

As the transformation standard of the modern stack — we orient you properly (models, refs, tests conceptually) so dbt tutorials click immediately, while keeping this course's core on warehousing itself.

Complete all 5 modules and pass the hands-on final assessment — real tasks on real systems, not multiple choice — to receive the Edmire Data Warehousing Professional Certificate. Assessment retakes are free.

Classroom training at our Dubai centre, live online classes with an instructor, or custom in-house training for teams. All code, labs and materials remain yours after the course.

The overlap zone — analytics engineers. Analysts gain modelling and platform depth; engineers gain the analytical design layer. It pairs naturally with our ETL/Pipelines course on the engineering side.

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