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 caching and partitioning.
- Implement Spark Streaming for real-time data stream processing.
- Master Spark SQL for complex queries on massive datasets.
- Develop ML pipelines with Spark MLlib and GraphX.
- Manage and deploy Spark clusters on YARN or Kubernetes.
- Debug and monitor Spark applications in production.
- Integrate Spark with Kafka and other Big Data tools.
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 Apache Spark mastery, your jobs run 5 to 10 times slower, multiplying cloud costs by 300% annually – imagine €100k wasted on underutilized clusters.
Non-optimized streaming flows cause critical data losses, up to 20% of IoT events ignored, leading to flawed business decisions.
Teams struggle with endless debugging, delaying product launches by weeks.
Trained competitors deploy ML in hours, not days, capturing 30% additional market share.
Production blackout risk: 40% of Data Engineers report major incidents without advanced expertise.
Invest now to avoid these costly pitfalls and scale confidently.
Program
Module 1Day 1: Spark Optimization - DataFrames, caching, partitioning (Spark SQL, TPC-DS dataset exercises)
Dive into advanced DataFrame optimization in Spark, test strategic caching and dynamic partitioning on massive real-world datasets, complete practical exercises to reduce execution times by 70%, generate custom performance reports, while mastering Catalyst Optimizer configurations to boost your daily jobs.
Module 2Day 2: Spark Streaming - Real-Time Processing (DStreams, Structured Streaming, Kafka integration)
Build fault-tolerant streaming pipelines with Structured Streaming, integrate Kafka to ingest continuous streams, simulate micro-batch scenarios on real IoT data, develop scalable applications handling millions of events per second, generate real-time alerts, and validate deliverables through integrated unit tests.
Module 3Day 3: Spark SQL and MLlib - Advanced Queries, Distributed Machine Learning (UDFs, ML pipelines)
Execute complex Spark SQL queries with UDFs and analytic windows on petabytes of data, train distributed MLlib models on clusters, optimize pipelines for batch prediction, apply GraphX to real-world social graphs, produce interactive dashboards, and measure impact on prediction accuracy.
Module 4Day 4: Deployment and Monitoring - YARN/Kubernetes Clusters, Debugging (Spark UI, Prometheus)
Deploy Spark applications on YARN and Kubernetes in production mode, configure monitoring with Spark UI and Prometheus, debug failing jobs using advanced logs and profilers, simulate cluster failures to test resilience, finalize a capstone project with a deployable deliverable ready for enterprise environments.
Evaluation method
- Daily technical quizzes, practical projects each day, final exam on real-world case, internal certification.
Learning method
- 70% hands-on workshops, Fortune 500 company case studies, exercises on Jupyter and Databricks.
Methods, materials and delivery
The Advanced Apache Spark Training - Optimize Real-Time Big Data 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 Advanced Apache Spark Training - Optimize Real-Time Big Data 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 Advanced Apache Spark Training - Optimize Real-Time Big Data 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 eligible for corporate training budgets and employer-funded plans.
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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