Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the Training Apache Kafka - Managing Massive Real-Time Data Streams training are: Experience in Java or Python, basics in Apache Kafka, knowledge of distributed systems and Linux. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training Apache Kafka - Managing Massive Real-Time Data Streams training is available in distanciel. The format can be adapted to your needs (inter, intra, custom).

Training Apache Kafka - Managing Massive… | Learni

The story of Learni

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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Methods, approaches, and teaching resources

The Training Apache Kafka - Managing Massive Real-Time Data Streams 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.

Teaching resources provided

To ensure the quality of the Training Apache Kafka - Managing Massive Real-Time Data Streams training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and 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.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the Training Apache Kafka - Managing Massive Real-Time Data Streams training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

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.

Training objectives

Master the distributed architecture of Apache Kafka for professional deployments

Develop advanced producers and consumers optimized for enterprise use

Implement Kafka Streams for certified real-time stream processing

Configure security and monitoring for scalable Kafka clusters

Integrate Kafka with big data ecosystems like Spark and Flink

Optimize Kafka performance for massive data volumes

Deploy Kafka pipelines in production with high availability

Training program

Module 1Apache Kafka Architecture: Advanced Cluster Configuration (brokers, partitions, replication)

Dive into advanced Kafka multi-broker cluster configuration with ZooKeeper or KRaft, optimized topic partitioning for horizontal scaling, hands-on exercises on creating high-availability topics, simulation of failures to test synchronous/asynchronous replication, production of a documented cluster schema ready for enterprise use, personalized feedback from the trainer on your configurations.

Module 2Apache Kafka Producers and Consumers: Performance Optimization (serialization, batching)

Develop idempotent and transactional Kafka producers with Snappy/LZ4 compression, offset management for exactly-once semantics, implement rebalanced consumers with group management, hands-on workshops on simulated massive streams at 1M messages/second, tuning parameters to minimize latency, creation of a scalable consumer group with Prometheus metrics, leverage your skills for immediate professional projects.

Module 3Apache Kafka Streams: Real-Time Stream Processing (KStreams, KTables, joins)

Master the Kafka Streams API for stateful applications, develop topologies with windowing and aggregations on continuous streams, integrate KSQL for SQL queries on streams, exercises on real-time e-commerce cases like fraud detection, deployment of Streams apps in Docker containers, production of a stream processing microservice prototype, transform your data into actionable business insights.

Module 4Apache Kafka Security and Monitoring: ACL, Encryption, Observability Tools (JMX, Kafka Cruise Control)

Configure Kafka security with SASL/SCRAM, TLS for in-transit encryption, granular ACL setup for producers/consumers, advanced monitoring via Kafka Manager and Grafana, workshops on partition auto-rebalancing with Cruise Control, simulation of attacks to test defenses, delivery of a complete supervision dashboard, protect your critical pipelines and enhance professional reliability.

Module 5Apache Kafka Integrations and Deployment: Connectors, Scaling with Kubernetes (Helm, operators)

Integrate Kafka with Spark, Flink, and Elasticsearch via Kafka Connect, deployment on Kubernetes with Strimzi Operator, optimization for AWS/MSK cloud or on-premise, real-world enterprise real-time ETL cases, disaster recovery and blue-green deployment exercises, finalization of the red thread project with GitHub Actions CI/CD, leave with a concrete portfolio certifying your advanced Kafka skills.