Rigorous trainer selection
Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.
- Triple validation: technical, pedagogical, sectoral.
- Minimum rating 4.8/5 over the last 12 sessions.
1 seat held for the next session
30:00Held for another
Request a call back and an advisor reaches you within 24 business hours, Monday to Saturday.
Trusted by — schools, companies and industrial groups
Every program built with a dedicated engineer
Learning objectives
- Master Google Cloud Dataproc for professional Spark and Hadoop clusters
- Develop scalable and enterprise-certified Big Data pipelines
- Optimize Spark performance on Dataproc with advanced tuning
- Implement managed Hadoop for massive processing of structured data
- Design automated workflows integrating Spark SQL and Hive on Dataproc
- Deploy high-availability solutions for expert Big Data skills
Our social commitment
A school kit donated to a child for every training
To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.
- Backpack, notebooks and essential supplies
- Distributed through our partner charities
- Included, at no extra cost to you
The Learni story
Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.
Don't let this gap widen
Why this program matters
Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.
Organizations that don't train their talents on key topics see their competitiveness drop.
Every quarter without training is a gap widening with competitors who invest.
The cost of inaction quickly exceeds that of well-targeted training.
Program
Module 1Dataproc Configuration: Managed Spark and Hadoop Clusters (GCP Console, gcloud CLI, Initial Tuning)
Rapid creation of optimized Dataproc clusters for Spark and Hadoop via GCP Console and gcloud CLI, advanced configuration of custom images with pre-installed libraries, launching initial Spark jobs on massive datasets to test automatic scaling, practical exercises on tuning workers and preemptibles to reduce costs by 40%, production of a first complete ETL pipeline with integrated monitoring via Stackdriver, real enterprise cases to validate real-time performance.
Module 2Advanced Dataproc Optimization: Spark SQL, Hadoop Hive, and Scaling (PySpark, Autoscaling, CI/CD)
Implementation of complex Spark SQL queries on Dataproc with massive joins and window functions, integration of Hadoop Hive for federated queries on data lakes, development of PySpark scripts for distributed machine learning with partition and cache tuning, setup of dynamic autoscaling and preemption policies for load peaks, automated deployment via Cloud Build and Terraform for smooth CI/CD, completion of a main project on real enterprise data with performance metrics and optimization report.
Evaluation method
- Expert multiple-choice quiz to validate learning outcomes at the end of the training
- Continuous assessment through practical Big Data exercises
- Presentation of the main Dataproc pipeline project to the trainer
Learning method
- Courses led by an active Dataproc expert trainer
- Practical exercises on real enterprise Big Data cases
- Progressive main project on managed Spark and Hadoop
- Complete course materials provided to each participant
Methods, materials and delivery
The Training Google Cloud Dataproc - Optimize Managed Spark and Hadoop program is delivered onsite or remote (blended-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.
The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.
Equipment required
For the smooth delivery of the Training Google Cloud Dataproc - Optimize Managed Spark and Hadoop program, the following equipment is required:
- Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
- Training environments installed on workstations or accessible online
- Course materials, hands-on exercises and complementary resources
- Post-training access to materials and educational resources
For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.
* contact us for remote delivery feasibility** ratio varies depending on the program
Skills assessment methods
Assessment of skills acquired during the Training Google Cloud Dataproc - Optimize Managed Spark and Hadoop program is performed through:
- During training: case studies, hands-on labs and professional scenarios
- End of training: self-assessment questionnaire and skills evaluation by the trainer
- After training: completion certificate detailing acquired skills
Program accessibility
Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.
Enrollment terms and lead times
Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.
Our method
Training quality, guaranteed at every step
Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.
You meet the trainer beforehand
30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.
- Live briefing on goals and team context.
- Veto right — we swap the trainer for free if needed.
Content tailored to your context
No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.
- Hands-on cases drawn from your stack and projects.
- Program co-written then validated by your team.
Continuous quality follow-up
Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.
- NPS, knowledge quizzes and skills self-assessment.
- Satisfaction guarantee: fully satisfied or free rework.
A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.
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FAQ
Frequently asked questions
How much does the Training Google Cloud Dataproc - Optimize Managed Spark and Hadoop training cost?+
The individual price is $2,310 (USD). The team / on-site group package is shown on the course page. A detailed quote is sent within one business day.
How long is the Training Google Cloud Dataproc - Optimize Managed Spark and Hadoop training?+
The training lasts 2 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Advanced expertise in Apache Spark, Hadoop YARN, and Google Cloud Platform fundamentals
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
On-site & remote
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