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 Flink - Mastering Real-Time Streaming training are: Basic programming knowledge in Java or Python, elementary understanding of data streams. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training Apache Flink - Mastering Real-Time Streaming training is available in in-person. The format can be adapted to your needs (inter, intra, custom).

Training Apache Flink - Mastering Real-Time… | 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 Flink - Mastering Real-Time Streaming 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 Flink - Mastering Real-Time Streaming 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 Flink - Mastering Real-Time Streaming 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 access terms and deadlines

Training objectives

Master the basics of Apache Flink for a professionally certified training

Develop skills in real-time stream processing in a business environment

Design simple Flink jobs for business applications

Implement scalable and reliable data pipelines

Optimize basic performance with Apache Flink

Integrate Flink into a professional data ecosystem

Training program

Module 1Introduction to Apache Flink: installation and first jobs (development environments, stream concepts)

Discover the fundamentals of Apache Flink through a guided installation on a local cluster, configure your development environment with IntelliJ, launch your first batch and stream jobs on simulated data, explore the DataStream API to transform simple streams, perform practical exercises on real-time wordcount, produce your first testable deliverables with immediate trainer feedback.

Module 2Stream Processing with Apache Flink: transformations and windows (keyBy, reduce, tumbling operations)

Dive into DataStream transformations, apply keyBy and reduce on continuous streams, configure tumbling and sliding windows to aggregate data in real-time, integrate sources like Kafka to ingest real streams, develop exercises on anomaly detection, test fault tolerance with checkpoints, generate performance reports as concrete deliverables.

Module 3State Management and Tables with Apache Flink: stateful streams and Flink SQL (KeyedState, ValueState)

Master state management with KeyedState and ValueState for stateful applications, implement custom counters on infinite streams, use Flink Table API and SQL for dynamic queries, connect to sinks like Elasticsearch, perform practical cases on complex aggregations, debug with the Flink web interface, produce complete deployable pipelines for business use.

Module 4Deployment and Optimization of Apache Flink: clusters and tuning (YARN, Kubernetes, monitoring)

Deploy Flink jobs on YARN and Kubernetes, optimize resources with parallelism and slots, monitor via Metrics and Grafana dashboards, integrate with data tools like Hadoop, simulate production scenarios with high loads, review best practices for scalability, finalize a capstone project on real business streams, obtain certificates with a portfolio of deliverables.