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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 Schema Registry, 68% des pipelines Kafka échouent à cause d'incompatibilités de schémas, générant des downtimes de 4 heures en moyenne par incident.
Les entreprises perdent jusqu'à 25% de fiabilité dans le traitement de données streaming, avec des coûts de correction avoisinant 50k€ annuels par équipe.
En 2024, 82% des data engineers sans cette compétence sont écartés des projets scalables.
Chaque retard creuse l'écart concurrentiel, exposant à des pertes de revenus massives sur flux temps réel.
The Formation Schema Registry - Gérer schémas Kafka efficacement 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 Schema Registry - Gérer schémas Kafka efficacement 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 Schema Registry - Gérer schémas Kafka efficacement 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.
Découverte des principes de Schema Registry pour gérer schémas Kafka de manière centralisée, installation rapide d'un environnement local avec Docker et Confluent Platform, création de premiers schémas Avro et JSON via l'interface web, tests de validation sur producers et consumers Kafka, exercices pratiques sur compatibilité backward et forward, production d'un schéma évolutif pour un cas métier concret comme logs d'applications.
Plongée dans les mécanismes de validation automatique des schémas avec Schema Registry, utilisation de l'API REST pour subject management et versioning, intégration de formats Protobuf et JSON Schema dans pipelines Kafka, résolution de conflits d'évolution via stratégies de compatibilité, ateliers pratiques sur refactoring de données réelles d'entreprise, génération de rapports de conformité et documentation des schémas pour équipes DevOps.
Déploiement sécurisé de Schema Registry en cluster Kafka avec authentification SSL et ACL, monitoring via Prometheus et Grafana pour traçabilité des schémas, intégration dans pipelines CI/CD avec Maven et GitHub Actions, cas d'usage avancés sur microservices streaming, optimisation des performances pour gros volumes de données, finalisation d'un projet fil rouge avec audit complet et plan de mise en production certifiant.
Target audience
Développeurs Kafka, ingénieurs data, architectes streaming pour montée en compétences
Prerequisites
Connaissances de base en Kafka, JSON et Apache Avro
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