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 Spark SQL and DataFrames for high-performance big data analyses in enterprise settings
- Optimize Spark application performance on scalable clusters
- Implement Spark Streaming for certified real-time stream processing
- Develop professional machine learning pipelines with MLlib
- Integrate Spark with Kafka and Hadoop in production environments
- Deploy and monitor Spark jobs for certified 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 advanced Apache Spark skills, big data pipelines run 4 to 6 times slower, wasting up to 30 000 € annually in unnecessary cloud costs per team.
65% of analytics projects fail due to lack of Spark optimization, causing 25% revenue losses on missed real-time insights.
Untrained data engineers stagnate in their careers while competitors deploy distributed ML 3x faster.
Every quarter without training widens an insurmountable competitive gap in the exploding big data market.
Program
Module 1Spark: Advanced DataFrames and Performance Optimization (Spark SQL, Catalyst, Cluster Tuning)
Immediate setup of a distributed Spark cluster in cloud mode, deep dive into Spark SQL for complex queries on terabyte datasets, mastery of the Catalyst Optimizer to accelerate joins and aggregations, creation of custom UDFs in Python/Scala, practical exercises on real enterprise cases such as massive log analysis, tuning of memory and executor parameters for 50% speed gains, production of optimized deliverables ready for production.
Module 2Spark: Real-Time Streaming and MLlib in Enterprise (Kafka, ML Pipelines, Ganglia Monitoring)
Integration of Spark Streaming with Kafka to ingest real-time IoT streams, development of fault-tolerant micro-batches on high volumes, construction of complete MLlib pipelines with distributed feature engineering and scalable models, cross-validation evaluation on clusters, automated deployment via Spark Submit and advanced monitoring with Spark UI/Ganglia, collaborative workshops on enterprise red thread projects, generation of predictive dashboards and scaling plans for immediate ROI.
Evaluation method
- Certified MCQ on advanced Spark and optimization
- Continuous assessment via hands-on labs on streaming and ML
- Presentation of the complete red thread big data pipeline
Learning method
- Sessions led by certified Spark data engineers in active roles
- Practical hands-on labs on real cloud clusters and enterprise datasets
- Evolving red thread project for immediate skills application
- Detailed course materials and source codes provided
Methods, materials and delivery
The Training Apache Spark - Optimizing Big Data Processing 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 Apache Spark - Optimizing Big Data Processing 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 Apache Spark - Optimizing Big Data Processing 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 Apache Spark - Optimizing Big Data Processing training cost?+
The price is $2,940 (USD) per participant. A detailed quote is sent within one business day.
How long is the Training Apache Spark - Optimizing Big Data Processing 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?+
Mastery of basic Spark RDDs and DataFrames, advanced Python or Scala, SQL, and distributed clusters
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
This training across cities
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