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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 future of asynchronous communication training for distributed teams. Discover strategies, tools, and trends shaping effective collaboration across time zones by May 2026.
No-Code / Low-Code training in Leeds in November 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Artificial Intelligence training in Glasgow in June 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Artificial Intelligence training in San Francisco in October 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Don't let this gap widen
Sans maîtriser Azure Data Factory 2026, vos flux de données restent manuels, entraînant des pertes de temps estimées à 30% des heures data selon Gartner.
Les entreprises subissent des coûts cachés de 50 000€ annuels par silos data non automatisés, avec des risques d'erreurs humaines provoquant des fuites de données critiques.
Votre carrière stagne face à la demande croissante de compétences cloud, où 80% des data jobs exigent Azure d'ici 2026.
Investissez dans cette formation novice pour sécuriser vos pipelines et booster votre valeur professionnelle dès aujourd'hui.
The Formation Azure Data Factory 2026 - Automatiser vos pipelines data 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 - Automatiser vos pipelines data 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 - Automatiser vos pipelines data 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 les interfaces intuitives d'Azure Data Factory 2026 via une session guidée en distanciel, configurez vos premiers datasets et linked services avec des exemples concrets d'entreprises, enchaînez avec la création de pipelines ETL simples incluant copy activities et data flows, réalisez des exercices pratiques sur des cas réels comme la migration de données SQL vers Azure Blob, testez les triggers pour l'automatisation, et produisez un livrable final : un pipeline fonctionnel prêt à déployer, avec feedback personnalisé du formateur pour consolider vos compétences professionnelles.
Target audience
Data analysts, ingénieurs données débutants, responsables BI et chefs de projet IT cherchant une montée en compétences sur le cloud Microsoft Azure.
Prerequisites
Connaissances de base en SQL, notions élémentaires de traitement de données et familiarité avec les interfaces web.
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