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 Streaming Data Processing training are: Basic programming knowledge in Java or Python, familiarity with big data concepts. A preliminary interview validates your eligibility.

Is the training available in person?

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

Training Apache Flink - Mastering Streaming Data… | 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 Streaming Data Processing 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 Streaming Data Processing 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 Streaming Data Processing 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 fundamentals of Apache Flink for professional data analysis

Set up a Flink environment tailored to business needs

Develop batch and streaming processing jobs with certifiable skills

Implement real-time data pipelines through practical training

Optimize Flink performance for scalable professional projects

Integrate Apache Flink into enterprise data analysis ecosystems

Training program

Module 1Introduction to Apache Flink: Installation and Basic Concepts (Tools, DataStream API, DataSet)

Discover the principles of Apache Flink through guided installation on a local cluster, explore the essential APIs for streaming and batch, create your first simple jobs with practical exercises on real datasets, understand windowing and state management concepts, produce functional deliverables tested live to consolidate your beginner skills in unified data processing.

Module 2Development with Apache Flink: Advanced Streaming and Batch Jobs (Methods, Operators, Transformations)

Dive into coding complex pipelines using key operators like map, filter, and join, apply transformations on continuous streams with real business cases, integrate sources like Kafka and sinks like Elasticsearch, debug and monitor your applications via the Flink web interface, generate performant reports from your practical developments for rapid skill advancement.

Module 3Optimization and Deployment of Apache Flink: Scalability and Integrations (Performance, Clusters, Monitoring)

Learn to tune performance with parallelism and checkpointing on distributed environments, deploy jobs on YARN or Kubernetes, integrate Flink with BI tools for comprehensive analysis, simulate production scenarios with fault tolerance, complete a capstone project delivering certifiable new professional skills in data streaming.