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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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30 free minutes with a training advisor — no commitment.
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Explore the evolving role of artificial intelligence in crafting tailored educational journeys, with projections for groundbreaking advancements by April 2026.
Professional Training training in Dallas in July 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
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Don't let this gap widen
Sans maîtrise d'Azure Data Factory 2026, les équipes data perdent 50% de temps sur des ETL manuels fastidieux, générant des silos coûteux à 25% du budget IT annuel.
Les entreprises sans orchestration cloud subissent 40% d'erreurs data en plus, impactant les décisions BI et coûtant des millions en opportunités manquées.
En 2026, 75% des data projects échouent par manque d'automatisation, menaçant la compétitivité et la carrière des pros non formés.
Chaque retard creuse l'écart avec les rivaux agiles en IA data.
The Formation Azure Data Factory 2026 - Orchestrer pipelines data cloud 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.
To ensure the quality of the Formation Azure Data Factory 2026 - Orchestrer pipelines data cloud training, Learni provides the following 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.
The assessment of skills acquired during the Formation Azure Data Factory 2026 - Orchestrer pipelines data cloud training is carried out through:
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.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Découvrez l'interface intuitive d'Azure Data Factory 2026 via Azure Portal, configurez votre factory et intégrez des connecteurs vers Blob Storage, SQL Database et fichiers on-premise, réalisez votre premier pipeline avec activités de copie et transformation simple, testez des datasets réels d'entreprise, activez des triggers manuels pour exécutions immédiates, produisez un livrable fonctionnel avec diagnostic des erreurs, sous guidance experte pour une prise en main rapide et confiante.
Passez à l'automatisation avec mapping data flows pour transformations complexes sans code, liez plusieurs sources dans un pipeline intégré, configurez des triggers schedule pour exécutions récurrentes adaptées aux besoins business, explorez le monitoring intégré avec alertes et métriques de performance, déboguez des flux sur cas concrets d'entreprise comme ETL BI quotidien, générez des rapports d'exécution et optimisez pour scalabilité, terminez par un projet fil rouge déployable en prod, boostant vos compétences data immédiates.
Target audience
Data analysts, ingénieurs données débutants, responsables BI souhaitant une montée en compétences professionnelle sur Azure Data Factory
Prerequisites
Notions de base en Azure Portal, SQL Server et concepts ETL simples
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