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 Databricks 2026 - Maîtriser l'analyse big data collaborative training are: Bases en Python ou SQL, notions de données structurées et environnement cloud. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Formation Databricks 2026 - Maîtriser l'analyse big data collaborative training is available in distanciel. The format can be adapted to your needs (inter, intra, custom).

Formation Databricks 2026 - Maîtriser l'analyse ... | 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 Databricks 2026 - Maîtriser l'analyse big data collaborative 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 Databricks 2026 - Maîtriser l'analyse big data collaborative 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 Databricks 2026 - Maîtriser l'analyse big data collaborative 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 notebooks Databricks pour des analyses professionnelles certifiantes

Développer des compétences en Spark pour traiter des volumes massifs de données

Configurer des clusters Databricks optimisés pour l'entreprise

Implémenter Delta Lake pour une gestion fiable des données lakes

Concevoir des pipelines ETL collaboratifs en formation Databricks

Optimiser les workflows data pour une scalabilité immédiate en production

Training program

Module 1Fondamentaux Databricks : configuration clusters et notebooks collaboratifs (UI, Spark SQL, premiers jobs)

Découverte immersive de la plateforme Databricks 2026 via création de compte et workspace dédié, configuration rapide de clusters auto-scalants adaptés à vos datasets, prise en main des notebooks interactifs pour coder en Python et SQL simultanément, exécution de premiers ETL sur données réelles d'entreprise, exercices pratiques pour transformer des CSV massifs en tables optimisées, production de visualisations Delta Lake prêtes à partager avec l'équipe.

Module 2Traitement Databricks : Spark avancé et Delta Lake (pipelines, ACID, versioning)

Plongée dans Spark Core pour paralléliser traitements sur téraoctets de données, implémentation de DataFrames et joins efficaces sur clusters Databricks, maîtrise de Delta Lake pour transactions ACID et time travel sur vos lacs de données, construction de pipelines ETL automatisés avec triggers, cas concrets d'entreprise comme nettoyage de logs IoT, génération de rapports scalables et optimisation des coûts de stockage via Z-ordering.

Module 3Avancé Databricks 2026 : MLflow, Unity Catalog et déploiement (modèles IA, gouvernance)

Intégration MLflow pour tracker et déployer modèles machine learning sur Databricks, experimentation d'algorithmes sur datasets volumineux avec AutoML, activation Unity Catalog pour gouvernance des données sensibles en entreprise, orchestration de jobs via Workflows pour scheduling fiable, tests de déploiement en production simulée, finalisation d'un projet fil rouge certifiant avec monitoring et alertes, export de livrables prêts pour l'exploitation immédiate.