Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the Formation Data Contracts 2026 - Sécuriser les flux data enterprise training are: Expérience avancée en data pipelines ETL/ELT, Kafka, data mesh et SQL/NoSQL complexes. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Formation Data Contracts 2026 - Sécuriser les flux data enterprise training is available in distanciel. The format can be adapted to your needs (inter, intra, custom).

Formation Data Contracts 2026 - Sécuriser les fl... | Learni

The story of Learni

Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.

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Methods, approaches, and teaching resources

The Formation Data Contracts 2026 - Sécuriser les flux data enterprise training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.

The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.

Teaching resources provided

To ensure the quality of the Formation Data Contracts 2026 - Sécuriser les flux data enterprise training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and teaching resources

For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the Formation Data Contracts 2026 - Sécuriser les flux data enterprise training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.

Training objectives

Maîtriser les data contracts 2026 pour architectures data mesh professionnelles

Développer des contrats data certifiants et interopérables en entreprise

Implémenter la validation automatique des flux data avec outils avancés

Concevoir des stratégies de gouvernance data scalables et sécurisées

Optimiser les performances data contracts dans environnements cloud hybrides

Déployer des data contracts pour compliance RGPD et souveraineté données

Acquérir compétences certifiantes en data contracts pour projets enterprise

Training program

Module 1Fondamentaux data contracts 2026 : standards émergents et outils (OpenAPI, Protobuf, Great Expectations)

Plongez dans l'évolution des data contracts vers 2026, analyse des standards comme JSON Schema et Avro pour interopérabilité maximale, configuration d'environnements de test avec Great Expectations et Pydantic, exercices pratiques sur schémas data réels d'entreprise, création de votre premier contrat data validé, revue de code collaborative pour identifier pièges courants, production d'un livrable prêt pour data mesh.

Module 2Conception data contracts avancés : modélisation sémantique et validation (Semantic UI, dbt, Soda)

Modélisez des data contracts complexes intégrant sémantique métier via tools comme dbt et Collibra, implémentez validations automatisées avec Soda et custom validators Python, cas concrets sur flux Kafka et Spark, ateliers collaboratifs pour négocier contrats entre producers/consumers, génération de documentation interactive, tests unitaires sur contrats évolutifs, obtenez un portfolio de contrats data optimisés pour production.

Module 3Implémentation data contracts en pipelines : intégration CI/CD (Terraform, GitHub Actions, Airflow)

Intégrez data contracts dans pipelines CI/CD via Terraform et GitHub Actions, orchestrez avec Apache Airflow pour monitoring temps réel, exercices sur déploiements cloud AWS/GCP hybrides, simulation de breaches pour hardening contrats, développement de hooks custom pour auto-remédiation, analyse de logs avec ELK stack, produisez un pipeline data contracté fonctionnel et scalable, valorisez vos compétences enterprise immédiates.

Module 4Gouvernance data contracts 2026 : compliance et monitoring (Collibra, Monte Carlo, Databricks Unity)

Déployez gouvernance avancée des data contracts avec Collibra pour lineage et Monte Carlo pour observabilité, intégrez compliance RGPD/DORA via Databricks Unity Catalog, ateliers sur audits automatisés et alertes proactives, cas d'étude sur incidents data majeurs évités, configuration de SLAs data contractés, exercices de crise simulation, générez rapports de gouvernance prêts pour direction, maîtrisez souveraineté données 2026.

Module 5Optimisation et déploiement data contracts : scalabilité production (Kubernetes, Snowflake, Feast)

Optimisez data contracts pour ultra-scalabilité avec Kubernetes et Snowflake, intégrez feature stores comme Feast pour ML ops, exercices finaux sur votre projet fil rouge enterprise, performance tuning et cost optimization, déploiement blue-green sécurisé, revue peer-to-peer et certification personnelle, handover complet avec playbooks ops, repartez avec expertise data contracts 2026 operationalisée pour booster votre carrière.