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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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Cybersecurity training in Sheffield in November 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Cybersecurity training in Oklahoma City in December 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Professional Training training in Memphis in October 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Discover Learni's comprehensive Excel training program launching in May 2026, guiding learners from basic spreadsheets to advanced data mastery for career success.
The Training Apache Kafka 2026 - Optimizing Streaming Data Engineering Pipelines 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 Training Apache Kafka 2026 - Optimizing Streaming Data Engineering Pipelines 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 Training Apache Kafka 2026 - Optimizing Streaming Data Engineering Pipelines 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.
Discover the KRaft evolutions of Kafka 2026 without ZooKeeper, configure resilient multi-node clusters via practical exercises on Docker containers, implement Kafka Streams for real-time stateful processing, analyze dynamic partitions and automatic rebalancing, produce precise topologies with UML diagrams, test fault tolerance on concrete data engineering cases, deliver a production-ready architectural blueprint.
Dive into Kafka-Spark 2026 connectors for unified batch and streaming jobs, develop Airflow DAGs orchestrating Kafka streams in interactive labs, integrate Kafka Connect for third-party sources like S3 or SQL databases, optimize Avro serializers and Schema Registry for evolving schemas, simulate end-to-end ETL pipelines on terabyte datasets, debug backpressure with native tools, generate quantified performance reports as concrete deliverables.
Master Kafka 2026 Tiered Storage for infinite retention without exploding costs, deploy OAuth and mTLS securities via Helm on Kubernetes, monitor with Prometheus and Grafana on custom metrics, tune JVM and brokers for sub-millisecond latencies, resolve memory leaks in live troubleshooting, migrate legacy Kafka to 2026 in guided sessions, conclude with a capstone project delivering a complete, certifiable, and scalable data engineering pipeline.
Target audience
Data Engineers, data architects, backend developers, and DevOps managers seeking to advance their skills in real-time data streams in enterprise environments.
Prerequisites
Mastery of basic Apache Kafka, programming in Java or Scala, knowledge of distributed streaming and production Kafka clusters.
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