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.
Learning objectives
- Optimize Spark job performance with advanced tuning
- Develop complex data pipelines using DataFrames and Spark SQL
- Implement real-time streaming with Spark Structured Streaming
- Build scalable ML models with MLlib
- Deploy and monitor Spark clusters in production
- Manage massive graphs with GraphX
- Integrate Spark with Hadoop and cloud ecosystems
The Learni story
Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.
Don't let this gap widen
Why this program matters
Without advanced mastery of Apache Spark, your jobs run 10x longer, multiplying cloud costs by 5 (up to 50k€/year wasted).
Poorly optimized pipelines cause 30% critical data loss, hindering business insights.
Untrained data engineers struggle with streaming, missing 40% of real-time opportunities.
Risk of 20h/week cluster downtime, impacting competitiveness.
With undetected memory leaks, 25% of resources evaporate.
Invest 35h today to avoid these pitfalls, accelerate Big Data ROI x3, secure your career in a market where 70% of positions require Spark expertise.
Program
Module 1RDD and DataFrames Optimization: Spark Performance Tuning
Dive into advanced optimization of RDDs and DataFrames, configure memory and partitions to speed up your jobs by 5x, complete exercises on massive datasets, analyze Spark UI logs to identify bottlenecks, produce personalized performance reports, while mastering broadcast variables and accumulators for immediate gains.
Module 2Advanced Spark SQL: Complex Queries and Catalogs
Master Spark SQL for ultra-fast distributed joins, create temporary views and custom UDFs, integrate Hive and Delta Lake, practice on real-world data warehousing cases, optimize execution plans via Catalyst, generate production-ready ETL pipelines, with interactive exercises that boost your productivity.
Module 3Spark Structured Streaming: Real-Time Data Streams
Develop fault-tolerant streaming applications, integrate Kafka and IoT sources, manage exactly-once semantics, test on simulated real-time streams, debug with Spark tools, produce live dashboards, discover watermarks and triggers to scale your processing, a hands-on immersion that turns your data into instant insights.
Module 4MLlib and GraphX: Spark Machine Learning and Graphs
Build distributed ML pipelines with MLlib, train scalable XGBoost and deep learning models, analyze graphs with GraphX for recommendations, apply to massive Kaggle datasets, evaluate cross-validation metrics, generate deployable models, hands-on workshops that position you as a Big Data ML expert.
Module 5Deployment and Monitoring: Spark Clusters in Production
Deploy on YARN, Kubernetes, and EMR, configure high availability, monitor with Prometheus and Ganglia, simulate failures to test resilience, integrate with Airflow for orchestration, produce a final tuning plan, conclude with a capstone project on a real cluster, ready to boost your Big Data infrastructure.
Evaluation method
- Daily technical quizzes
- Final project on a real cluster
- Personalized case study
Learning method
- 70% hands-on on dedicated clusters
- 30% theory and business cases
- Individualized exercises
Methods, materials and delivery
The Training Apache Spark Advanced - Optimize Your Big Data Pipelines program is delivered onsite or remote (blended-learning, e-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 Advanced - Optimize Your Big Data Pipelines 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 Advanced - Optimize Your Big Data Pipelines 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
Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.
Verified reviews
What our learners
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
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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