Loading...
Please wait a moment
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.
Which format do you prefer?
30 free minutes with a training advisor — no commitment.
Loading available slots...
Artificial Intelligence training in Raleigh 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.
Artificial Intelligence training in Mesa in September 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
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 Apache NiFi, les équipes gaspillent 50% de temps sur intégrations manuelles de données, multipliant les erreurs humaines par 3.
Les incidents de flux défaillants coûtent en moyenne 25 000€ par événement aux entreprises, avec 40% des pertes business liées à des ETL obsolètes.
En 2026, 82% des data engineers maîtrisent NiFi, écartant les profils novices des offres d'emploi qualifiées.
Chaque trimestre sans compétences NiFi creuse un retard compétitif fatal, exposant votre carrière ou entreprise à l'obsolescence rapide face à des flux big data explosifs.
The Formation Apache NiFi - Automatiser les flux de données pros 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 Apache NiFi - Automatiser les flux de données pros 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 Apache NiFi - Automatiser les flux de données pros 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.
Installation rapide d'Apache NiFi en mode standalone via Docker pour un démarrage immédiat, exploration intuitive de l'interface web drag-and-drop, création de votre premier pipeline d'ingestion de données depuis fichiers CSV ou API REST, configuration de processeurs populaires comme GetFile, PutFile et SplitJson avec exercices pratiques sur cas ETL réels d'entreprise, test en live des flux avec monitoring des performances, production d'un template réutilisable pour vos projets professionnels, tout accompagné de retours formateur pour ancrer compétences durables et valoriser votre formation certifiante.
Target audience
Ingénieurs données, admins IT, développeurs ETL pour montée en compétences
Prerequisites
Bases en Linux, notions JSON/XML et environnement Java
Loading...
Please wait a moment





























