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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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Don't let this gap widen
Sans maîtrise d'Airflow, vos workflows data s'enrayent face aux dépendances complexes, provoquant des échecs en cascade et des retards imprévus.
Une entreprise perd en moyenne 20 000 € par mois en temps d'arrêt et de débogage, tandis que 65 % des incidents de pipelines ETL sont dus à une orchestration inadéquate.
Votre équipe rate des opportunités business critiques, exposant l'entreprise à des analyses erronées et une concurrence impitoyable qui scale sans faille.
Chaque semaine sans expertise avancée en Airflow amplifie les risques de pertes de données et de stagnation carrière pour les data engineers.
The Maîtriser Airflow : L’orchestration avancée de workflows pour la Data Engineering 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 Airflow : L’orchestration avancée de workflows pour la Data Engineering 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 Airflow : L’orchestration avancée de workflows pour la Data Engineering 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 d’Airflow, cas d’usages, concepts clés (DAG, tâches, opérateurs). Installation locale et sur serveur, configuration de base, premières manipulations. Vue sur la Web UI et son utilité.
Syntaxe Python pour les DAGs, opérateurs natifs vs. personnalisés, triggers, dépendances, paramétrisation. Stratégies de planification, gestion des retards, répétition, fallback, gestion des métadonnées et variables.
Automatisation du déploiement (Docker, CI/CD), gestion avancée des logs, des notifications d’alertes et du monitoring via la Web UI ou outils externes. Cas de résolution de pannes, gestion de la sécurité, optimisation des performances, connexion à d’autres systèmes (cloud, bases de données, APIs tierces).
Target audience
Ingénieurs data, analystes, développeurs, chefs de projet IT impliqués dans les projets de data pipeline, ETL ou orchestrations complexes
Prerequisites
Bonne connaissance de Python, bases de systèmes Linux, notions de pipelines de données
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