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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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The Advanced Kafka Training - Master Real-Time 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 Advanced Kafka Training - Master Real-Time 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 Advanced Kafka Training - Master Real-Time 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.
Dive into the configuration of multi-node clusters with ZooKeeper, master dynamic partitioning and synchronous/asynchronous replication through practical exercises on virtual machines, simulate failover to ensure zero downtime, create your first automated deployment scripts, leave with a functional cluster tested in real-world conditions.
Develop Streams applications in Java/Scala, integrate joins, aggregations, and sliding windows on massive streams, use KSQL for real-time SQL queries, test on concrete cases like IoT or log analytics, optimize state stores for infinite scalability, build and deploy your production-ready stream pipeline.
Secure with SSL/TLS, ACL, and Kerberos through hands-on workshops, monitor with Prometheus/Grafana on advanced metrics, integrate with Spark Streaming and Elasticsearch, manage dead letter queues and exactly-once semantics, simulate Kubernetes deployments, validate your setup with a complete audit and certified deliverables.
Target audience
Big Data Architects, streaming developers, data engineers upskilling on high-performance Kafka streams.
Prerequisites
Mastery of basic Kafka, Java/Scala, Linux, distributed systems.
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