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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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Artificial Intelligence training in Mesa in September 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
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Don't let this gap widen
Sans maîtrise experte d'Apache Kafka, 70% des pipelines data subissent des latences >5s, causant pertes annuelles de 15% du CA pour e-commerces selon Gartner.
Les clusters mal tunés génèrent downtimes de 4h/semaine, amplifiant coûts ops à +200k€/an en reconnexions manuelles.
Carrières stagnent : data engineers sans skills Kafka Streams peinent à scaler vers lead architect, manquant promotions et salaires >90k€.
Investissez dès maintenant pour éviter ces pièges et booster ROI data x10.
The Formation Apache Kafka - Maîtriser le streaming data avancé 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 - Maîtriser le streaming data avancé 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 - Maîtriser le streaming data avancé 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.
Plongez dans l'architecture distribuée d'Apache Kafka, configurez partitions dynamiques et réplication synchrone, implémentez MirrorMaker pour clusters multi-sites, réalisez exercices sur fault-tolerance avec simulations de pannes, produisez diagrammes de scaling horizontal, analysez logs pour débogage expert, et validez livrables via un cluster Kafka résilient de 3 brokers.
Développez applications Kafka Streams complexes avec joins stateful et agrégations windowed, intégrez exactly-once semantics via transactions, testez topologies avec Kafka Streams DSL, simulez cas e-commerce pour détection fraude temps réel, optimisez state stores RocksDB, déployez via Docker Compose, et générez métriques Prometheus pour monitoring applicatif performant.
Couplez Kafka avec Apache Spark pour ingests stream-batch unifiés, codez jobs Spark Structured Streaming sur topics Kafka, gérez watermarks et late data, exécutez triggers continus sur Databricks simulé, traitez datasets IoT massifs avec fault-recovery, visualisez outputs via Spark UI, et produisez pipelines ETL end-to-end scalables à millions d'événements/seconde.
Orchestrez pipelines Kafka via Apache Airflow avec custom operators Kafka, définissez DAGs complexes pour backfills et scheduling, intégrez sensors pour offsets Kafka, gérez retries et alerting Slack, testez sur environnements Kubernetes minikube, monitorez via Airflow UI et Grafana, et déployez workflows prod-ready pour automatisations data enterprise critiques.
Optimisez performances Kafka via tuning JVM et brokers configs, implémentez ACLs Kerberos et quotas clients, déployez monitoring ELK Stack sur clusters sécurisés, analysez bottlenecks avec Kafka Manager, simulez attaques DDoS pour resilience, benchmarkez throughput >1M msg/s, et finalisez avec audit sécurité complet et plan de migration cloud hybride.
Target audience
Data engineers seniors, architectes big data, responsables ETL et DevOps en streaming data cherchant une montée en compétences experte
Prerequisites
Maîtrise avancée d'Apache Kafka (producteurs, consommateurs, topics), Java/Scala/Python, Spark SQL, bases Airflow, Linux et Docker
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