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Training Data Warehouse - Architecting Scalable Warehouses

Ref: ELO743
10 people max.
7000€ HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$170/day onsite · +$500 with certification exam
5 journées
distanciel

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Learning objectives

  • Master Data Warehouse architecture for scalable professional analyses
  • Develop optimized star and snowflake schemas for certified enterprises
  • Design high-performance ELT pipelines with modern cloud tools
  • Optimize performance and governance of production Data Warehouses
  • Implement hybrid lakehouse Data Warehouses for big data
  • Deploy secure, GDPR-compliant Data Warehouse solutions

The Learni story

Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.

Don't let this gap widen

Why this program matters

  • Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.

  • Organizations that don't train their talents on key topics see their competitiveness drop.

  • Every quarter without training is a gap widening with competitors who invest.

  • The cost of inaction quickly exceeds that of well-targeted training.

Allan Busi
Allan Busi

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Data Warehouse Architecture: Advanced Kimball and Inmon Modeling (star schemas, dbt tools)

Dive into expert methodologies for designing robust Data Warehouse architectures, comparing Kimball and Inmon approaches through real enterprise cases, model star and snowflake schemas with dbt and ER/Studio, perform practical exercises on massive datasets to identify slowly changing dimensions, produce a complete dimensional schema with technical documentation, and evaluate impacts on analytical query scalability.

Module 2Data Warehouse ELT Pipelines: Integration with Snowflake and BigQuery (Airflow orchestration)

Build advanced ELT pipelines to feed your Data Warehouse, configure Snowflake and BigQuery for massive data ingestion, orchestrate flows with Apache Airflow and dbt for complex transformations, test on terabyte volumes with performance monitoring, develop custom scripts for data quality checks, and generate a functional pipeline ready for production deployment and real-time business analysis.

Module 3Data Warehouse Performance Optimization: Partitioning, Indexing, Materialized Views (Talend)

Optimize your Data Warehouse speed with expert techniques, implement dynamic partitioning and clustering on Snowflake, configure bitmap indexes and materialized views in BigQuery, use Talend to tune ETL jobs, analyze bottlenecks via query profilers and EXPLAIN plans, perform before/after benchmarks on real enterprise cases, and produce an optimization report with recommendations to reduce cloud costs by 40%.

Module 4Data Warehouse Governance and Security: GDPR, Data Lineage (Collibra, Delta Lake lakehouse)

Strengthen Data Warehouse governance with expert practices, implement data cataloging and lineage via Collibra, secure access with RBAC and encryption in Delta Lake, audit GDPR compliance across entire pipelines, develop dynamic masking and anonymization policies, test on real incident scenarios, and create a complete governance framework ensuring traceability and reliability for strategic enterprise decisions.

Module 5Hybrid Lakehouse Data Warehouse: Big Data Scalability (Databricks, CI/CD Deployment)

Master lakehouse Data Warehouses for unlimited big data, integrate Databricks with Delta Lake for warehouse/lake unification, deploy via CI/CD with GitHub Actions and Terraform, scale to petabytes with auto-scaling, complete the ongoing project on real enterprise data, measure ROI via performance and cost metrics, and finalize with expert code review for immediate, certifiable production deployment.

Evaluation method

  • Expert multiple-choice quiz to validate acquired knowledge at the end of the training
  • Continuous assessment through practical exercises on massive datasets
  • Defense of the ongoing project Data Warehouse before the trainer

Learning method

  • Courses led by an active expert Data Warehouse trainer
  • Practical exercises on real big data enterprise cases
  • Progressive ongoing project for a complete Data Warehouse
  • Detailed course materials provided to each participant

Methods, materials and delivery

The Training Data Warehouse - Architecting Scalable Warehouses program is delivered onsite or remote (blended-learning, e-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.

The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.

Equipment required

For the smooth delivery of the Training Data Warehouse - Architecting Scalable Warehouses program, the following equipment is required:

  • Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
  • Training environments installed on workstations or accessible online
  • Course materials, hands-on exercises and complementary resources
  • Post-training access to materials and educational resources

For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.

* contact us for remote delivery feasibility** ratio varies depending on the program

Skills assessment methods

Assessment of skills acquired during the Training Data Warehouse - Architecting Scalable Warehouses program is performed through:

  • During training: case studies, hands-on labs and professional scenarios
  • End of training: self-assessment questionnaire and skills evaluation by the trainer
  • After training: completion certificate detailing acquired skills

Program accessibility

Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.

Enrollment terms and lead times

Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.

Verified reviews

What our learners

4.9 · +100 verified reviews
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
Our method

Training quality, guaranteed at every step

Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.

Step 1

Rigorous trainer selection

Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.

  • Triple validation: technical, pedagogical, sectoral.
  • Minimum rating 4.8/5 over the last 12 sessions.
Step 2

You meet the trainer beforehand

30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.

  • Live briefing on goals and team context.
  • Veto right — we swap the trainer for free if needed.
Step 3

Content tailored to your context

No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.

  • Hands-on cases drawn from your stack and projects.
  • Program co-written then validated by your team.
Step 4

Continuous quality follow-up

Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.

  • NPS, knowledge quizzes and skills self-assessment.
  • Satisfaction guarantee: fully satisfied or free rework.

A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.

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