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Training OKR 2026 - Aligning Data Engineering Objectives

Ref: DLP269
10 people max.
5500€ 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 days
remote

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Learning objectives

  • Master the fundamentals of OKR 2026 to align data skills in the company
  • Develop ETL pipelines tailored to professional certifying objectives
  • Design workflows with Apache Spark for measurable results
  • Implement Kafka and Airflow in an OKR data engineering strategy
  • Optimize professional training skills to boost team performance
  • Deploy concrete OKR 2026 in a data-driven company context

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 1OKR 2026: ETL Fundamentals & Pipelines (Spark intro, basic exercises)

Discover the principles of OKR 2026 applied to ETL and data engineering pipelines, through interactive remote modules. Install Apache Spark, configure first batch jobs, analyze simple datasets with practical exercises on real company cases. Create your first ETL pipeline, test data flows, receive personalized coach feedback, prepare Day 1 deliverable to align professional objectives.

Module 2OKR 2026: Apache Spark in Depth (distributed processing, Spark SQL)

Dive into Apache Spark for OKR 2026, master DataFrames, RDDs, Spark SQL on simulated clusters. Process massive data volumes, optimize queries with hands-on exercises, integrate real ETL pipelines. Develop Scala/Python scripts, debug common errors, produce performant reports, apply to certifying company data engineering scenarios.

Module 3OKR 2026: Kafka Streaming & Integration (messages, topics, consumers)

Integrate Kafka into OKR 2026 for real-time data engineering streams. Configure Kafka clusters, produce/consume messages, manage topics and partitions via practical remote workshops. Combine with Spark Streaming, test fault-tolerance, analyze performance logs, create end-to-end ETL pipeline, deliver prototype aligned with company professional objectives.

Module 4OKR 2026: Airflow Orchestration (DAGs, scheduling, monitoring)

Orchestrate OKR 2026 workflows with Airflow in data engineering. Create complex DAGs, schedule Spark-Kafka ETL tasks, monitor executions via intuitive UI. Implement custom operators, manage error retries, optimize simulated cloud resources, exercises on concrete company cases, produce certifying monitoring dashboard deliverable.

Module 5OKR 2026: Full Deployment & Optimization (capstone project, best practices)

Finalize OKR 2026 with full ETL-Spark-Kafka-Airflow pipeline deployment. Develop personal capstone project, optimize costs/performance, secure data flows. Share group feedback in remote session, code review with pair-programming, prepare company rollout plan, receive professional data engineering certifying skills attestation.

Evaluation method

  • Daily interactive quizzes on OKR 2026 and data tools
  • Final project: complete ETL pipeline evaluated by experts
  • Qualiopi certifying attestation for data engineering skills

Learning method

  • Active pedagogy with 70% hands-on practice in remote format
  • Real exercises inspired by company data engineering projects
  • Replay videos and unlimited resources post-training
  • Individual coaching for mastering OKR 2026 at beginner level

Methods, materials and delivery

The Training OKR 2026 - Aligning Data Engineering Objectives 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 OKR 2026 - Aligning Data Engineering Objectives 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 OKR 2026 - Aligning Data Engineering Objectives 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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