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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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Don't let this gap widen
Sans maîtrise d'Azure Data Factory, vos processus ETL cloud restent manuels et vulnérables, générant des erreurs récurrentes et des gaspillages massifs.
Les data engineers perdent en moyenne 40% de leur temps sur des tâches répétitives, tandis que les surcoûts Azure dus à des pipelines défaillants s'élèvent à 50 000 € par an par équipe de 5 personnes.
75% des incidents de données critiques – retards, fuites ou pertes financières – sont liés à une orchestration inadéquate, exposant l'entreprise à des sanctions RGPD et à une perte de compétitivité.
Chaque mois sans automatisation fluide, votre carrière et votre business s'enfoncent dans l'inefficacité face à des concurrents qui scalent 3 fois plus vite.
The Maîtriser Azure Data Factory : Concevoir et Automatiser vos Processus ETL 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 Maîtriser Azure Data Factory : Concevoir et Automatiser vos Processus ETL 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 Maîtriser Azure Data Factory : Concevoir et Automatiser vos Processus ETL 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.
Présentation du cloud Azure et de l’écosystème Data Platform Microsoft. Introduction à Azure Data Factory : concepts, architecture, cas d’usage. Notions de pipeline, datasets, linked services. Exploration de l’interface ADF : studio, options de configuration, cycles de vie des projets. Premiers ateliers : création de connexions, import de jeux d’essai, premiers pipelines simples.
Connecteurs natifs : SQL, Blob Storage, Data Lake, SaaS (Salesforce, Dynamics…). Paramétrage dynamique : variables, paramètres, expressions. Création de workflows de transformation de données avec Data Flows. Ateliers pratiques : extraction, transformation et chargement (ETL) entre différentes sources, gestion des erreurs, débogage et monitoring temps réel avec l’outil Azure Monitor.
Gestion des triggers et automatisation des pipelines. Pratiques DevOps : cycles CI/CD avec Azure DevOps et gestion des versions. Sécurité des flux : authentification, autorisations RBAC, encryption et gouvernance des données. Supervision et optimisation des performances. Ateliers de synthèse : déploiement complet d’un projet ETL, dashboard de monitoring, audit et résolution d’incidents.
Target audience
Data engineers, développeurs BI, architectes cloud et administrateurs souhaitant automatiser et orchestrer des flux de données avec Azure Data Factory.
Prerequisites
Connaissance de base en bases de données et notions fondamentales sur le cloud, idéalement sur Microsoft Azure.
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