The Training Apache Spark - Processing Massive Data in Clusters 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 Spark - Processing Massive Data in Clusters 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.

Assessment methods

The assessment of skills acquired during the Training Apache Spark - Processing Massive Data in Clusters 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.