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Training Data Warehouse 2026 - Scalable and Performant Architectures

Ref: LJT998
10 people max.
4400€ 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
4 journées
distanciel

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Learning objectives

  • Master Data Warehouse 2026 architectures to scale enterprise data in real time.
  • Design high-performance ETL pipelines with Apache Spark and Kafka for professional certification training.
  • Implement optimized hybrid data warehouses, enhancing data engineering skills.
  • Optimize Airflow workflows for massive processing tailored to business needs.
  • Deploy scalable, secure solutions to foster enterprise competitiveness.
  • Develop advanced skills in dimensional modeling for predictive analytics.
  • Integrate data DevOps practices for agile, certifiable maintenance.

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.

Fouzi Benzidane
Fouzi Benzidane

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Data Warehouse 2026 Fundamentals: Advanced Modeling and Data Lakehouse (Spark, Kafka)

Discover Data Warehouse 2026 evolutions through practical workshops on hybrid dimensional modeling, integrating Spark for batch and streaming processing. Configure Kafka connectors to ingest real-time streams, analyze real enterprise cases like massive log consolidation. Complete hands-on exercises to design an optimized star schema, test performance on large datasets, and produce a modeled blueprint as a concrete deliverable from this immersive day.

Module 2Data Warehouse 2026 ETL Pipelines: Spark Implementation and Optimization (Airflow)

Dive into building advanced ETL pipelines for Data Warehouse 2026 with Apache Spark, orchestrated via Airflow for automatic scalability. Handle complex transformations on structured/unstructured data, integrate distributed joins and temporal windows, apply to real e-commerce scenarios. Develop custom DAGs, monitor jobs live, generate performance reports, and validate your pipeline with unit tests for an operational deliverable ready for deployment.

Module 3Scalable Data Warehouse 2026: Kafka Ingestion and Data Governance (Spark Streaming)

Explore real-time ingestion in Data Warehouse 2026 via Kafka and Spark Streaming, managing metadata governance for GDPR compliance. Simulate massive IoT streams, apply evolving schemas, optimize partitioning for sub-second queries. Work on critical banking cases, implement CDC for synchronization, analyze bottlenecks with native tools, and produce a monitoring dashboard as a deliverable, strengthening your professional data engineering skills.

Module 4Data Warehouse 2026 Deployment and Optimization: DevOps and Monitoring (Airflow, Spark)

Finalize your mastery of Data Warehouse 2026 through CI/CD deployment with Airflow and Spark on hybrid cloud, integrating Prometheus-Grafana monitoring. Optimize costs via auto-scaling, test resilience under extreme loads, apply to predictive retail use cases. Complete a full capstone project, peer code review, and prepare for certification with a portfolio deliverable, ensuring immediate enterprise application for accelerated data ROI.

Evaluation method

  • Daily technical quizzes on Spark, Kafka, and modeling.
  • Final project: functional Data Warehouse 2026 ETL pipeline.
  • Peer-review evaluation and validated Qualiopi certification.

Learning method

  • Active pedagogy with 70% hands-on on real environments.
  • Unlimited access to Spark, Kafka, Airflow labs post-training.
  • 1-to-1 coaching support for personalized skill development.
  • Video resources and templates for independent review.

Methods, materials and delivery

The Training Data Warehouse 2026 - Scalable and Performant Architectures 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 2026 - Scalable and Performant Architectures 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 2026 - Scalable and Performant Architectures 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

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TomFormation AWS — Cloud Practitioner
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« 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
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« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
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« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
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« 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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