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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 Training Kafka Clients - Mastering Advanced Streaming Flows 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 Kafka Clients - Mastering Advanced Streaming Flows 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 Kafka Clients - Mastering Advanced Streaming Flows 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 advanced Kafka Producers through practical exercises in Java and Python, configure idempotence, transactions, and compression for high-performance flows, simulate production scenarios with automated retries and exactly-once semantics, produce millions of messages in real-time, analyze metrics via Kafka tools, and deliver a scalable Producer prototype tested in a simulated cluster.
Explore expert Kafka Consumers with fine-grained consumer group management, implement cooperative sticky assignor and rebalancing without downtime, manage offsets manually for exactly-once, test on multi-partition clusters with Kafka UI, handle disrupted flows via dead letter queues, and deploy a robust consumer handling 1M+ events/second with integrated Prometheus monitoring.
Master Kafka Streams for stateful streaming applications, code windowed joins between KStreams and KTables in Scala, manage state stores with RocksDB and changelog topics, optimize for low latency via custom serdes, deploy fault-tolerant topologies on Kubernetes, test real e-commerce cases with real-time aggregations, and produce interactive dashboards on processed flows.
Deepen Admin Clients for advanced cluster management, implement secure ACLs and dynamic quotas, scale via Kafka Cruise Control and MirrorMaker 2 for cross-DC replication, monitor with Kafka Manager and Grafana, optimize performance under extreme load, simulate failures and recoveries, and deliver a production-ready enterprise Kafka governance plan.
Target audience
Senior data engineers, data pipeline architects, backend developers specialized in streaming data, experienced data DevOps seeking expert skill advancement
Prerequisites
Advanced mastery of Apache Kafka, experience in Java/Scala/Python for Kafka clients, knowledge of production ETL and streaming pipelines
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