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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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Cybersecurity training in Brighton in July 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
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Don't let this gap widen
Sans maîtrise d'Apache Kafka 2026, 75% des pipelines data d'entreprise subissent des latences critiques dépassant 500ms, entraînant des pertes estimées à 1,2M€ annuels par Gartner pour les firmes du CAC40.
Les clusters non optimisés avec KRaft explosent en coûts opérationnels, multipliant par 3 les downtimes et exposant à des fuites de données sensibles dans 40% des cas.
Votre carrière stagne face à des juniors certifiés, tandis que l'entreprise perd en agilité compétitive face aux leaders data-driven.
Investissez dès maintenant pour sécuriser vos flux temps réel et booster votre valeur professionnelle.
The Formation Apache Kafka 2026 - Optimiser les flux data temps réel 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 Kafka 2026 - Optimiser les flux data temps réel 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 Kafka 2026 - Optimiser les flux data temps réel 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 évolutions majeures d'Apache Kafka 2026 avec KRaft pour remplacer ZooKeeper, configurez des clusters scalables via exercices pratiques sur Tiered Storage pour gérer des pétaoctets de données, implémentez MirrorMaker 3 pour réplication active-active, testez la haute disponibilité sur cas concrets d'entreprise, produisez des livrables comme un blueprint de cluster optimisé, intégrez des monitoring avancés avec Prometheus, tout en développant des compétences certifiantes pour vos pipelines data professionnels.
Plongez dans Kafka Streams et KSQL pour des traitements temps réel complexes, développez des applications stateful avec exactly-once semantics via TP 3.8, intégrez Kafka Connect pour ETL distribués vers Spark et Airflow, simulez des scénarios de défaillance et recovery sur données massives, optimisez les performances avec partitioning dynamique, générez des dashboards interactifs en live, validez vos compétences sur un projet final certifiant, prêt pour déploiement en production entreprise.
Target audience
Data engineers seniors, architectes Big Data, DevOps streaming data, responsables plateformes data en entreprise pour une montée en compétences experte
Prerequisites
Maîtrise avancée d'Apache Kafka, expérience en pipelines data distribués, compétences en Java/Scala/Python et concepts de streaming temps réel
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