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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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Professional Training training in New York in September 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Professional Training training in Memphis in October 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Discover how SAFe training enhances enterprise agility, key courses, benefits, and trends shaping implementations in March 2026. Prepare your organization for scalable success.
No-Code / Low-Code training in Leeds in November 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Don't let this gap widen
Sans maîtrise Azure Data Factory, pipelines ETL manuels gaspillent 50% temps data engineers, coûtant 150k€/an par équipe en retards projets.
Erreurs intégration génèrent 40% incidents data quality, menant pertes business 25% CA e-commerce.
68% data leaders échouent transformation 2026 faute orchestration cloud moderne, risquant obsolescence carrière et compétitivité entreprise.
Agissez pour scaler données sans pertes.
The Formation Azure Data Factory - Orchestrer ETL et intégration données experte 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 - Orchestrer ETL et intégration données experte 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 - Orchestrer ETL et intégration données experte 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.
Plongez dans l'environnement Azure Data Factory, configurez linked services pour sources hybrides comme SQL Server et Blob Storage, modélisez datasets paramétrés et pipelines complexes, réalisez exercices pratiques sur un cas ETL d'entreprise réel, testez triggers schedule et tumbling window, produisez votre premier pipeline fonctionnel avec validation formateur pour une mise en œuvre immédiate.
Maîtrisez les data flows pour transformations massives, utilisez mapping data flows avec sinks/sources multiples comme Azure Synapse et Databricks, appliquez jointures, agrégations et déduplications sur datasets volumineux, optimisez via partitioning et caching, développez un flux ETL complet sur données réelles d'entreprise, mesurez performances et générez rapports d'exécution pour gains immédiats en productivité.
Orchestrez workflows complexes avec activités control flow comme ForEach et Switch, intégrez API REST et fonctions Azure, gérez erreurs résilientes via retry policies, configurez monitoring avancé avec Azure Monitor et alerts, appliquez sur projet fil rouge entreprise impliquant data lakes et warehouses, analysez logs pour tuning automatique et scalabilité sans interruption.
Implémentez sécurité experte avec RBAC, managed identities et encryption, intégrez Microsoft Purview pour lineage données, déployez via CI/CD Git et ARM templates, optimisez coûts via auto-scale et data preview, finalisez projet fil rouge avec audit complet, préparez certification et exportez livrables prêts production pour transformation digitale sécurisée de votre entreprise.
Target audience
Data engineers, architectes Big Data, responsables ETL en entreprise pour montée en compétences Azure
Prerequisites
Maîtrise Azure fundamentals, SQL avancé, ETL traditionnel, Python pour data processing
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