Loading...
Please wait a moment
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.
10 spots per session maximum — 8 already taken
Which format do you prefer?
30 free minutes with a training advisor — no commitment.
Loading available slots...
Professional Training training in New York in September 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Discover why customer journey mapping training is essential for marketing teams in March 2026. Learn step-by-step guides, tools, trends, and strategies to boost customer experience and revenue.
Discover the best sports management training options starting in March 2026, essential skills, trends, and preparation tips for aspiring managers entering the dynamic sports industry.
Discover why advanced Excel formulas training is crucial for business professionals in March 2026. Explore key formulas, trends, and top training programs to boost your data skills and career.
Don't let this gap widen
Without mastering Dataproc for Big Data processing on Google Cloud Platform, teams waste up to 35% of their cloud budget on inefficient jobs, retries, and overprovisioned clusters—averaging $50,000 monthly losses for mid-sized operations.
Misconfigured workflows trigger 65% of Big Data incidents, causing data pipeline failures that delay insights by weeks and rack up $15,000 per downtime event.
Unoptimized processing leaves enterprises vulnerable to competitors who handle petabytes 4x faster, stalling revenue growth and threatening Data Engineers' career advancement.
Delaying expertise amplifies these risks exponentially as data volumes explode.
The Training: Master Dataproc: Big Data Processing on Google Cloud Platform 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: Master Dataproc: Big Data Processing on Google Cloud Platform 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: Master Dataproc: Big Data Processing on Google Cloud Platform 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.
Presentation of the Hadoop/Spark ecosystem, Google Cloud Platform architecture, introduction to Dataproc, installation of CLI and SDK tools, creation of a Dataproc cluster, exploration of the interface and IAM roles.
Submission of Spark and Hadoop jobs, advanced cluster management (autoscaling, hardware selection, configuration management), integration with Cloud Storage, data exchange with BigQuery, automation via scripts (gcloud, Terraform).
Job optimization (partitioning, memory management), monitoring and logging (Stackdriver, Dataproc logging), cluster security, cost management, real case studies, resolution of frequent issues, development of a complete end-to-end data workflow.
Target audience
Data Engineers, Data Scientists, Cloud Architects, System Administrators, anyone wishing to process massive volumes of data in the cloud
Prerequisites
Basic knowledge of SQL and Big Data, prior Cloud experience is a plus
Loading...
Please wait a moment





























