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Advanced Apache Spark Training - Optimize Your Big Data Jobs

Ref: KZH617
10 people max.
$6,300 HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$180/day onsite · +$540 with certification exam
5 days
Remote

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Learning objectives

  • Optimize Spark job performance on massive clusters
  • Master Spark SQL for ultra-fast queries
  • Implement real-time streaming with Spark Structured Streaming
  • Develop ML pipelines with MLlib and Spark
  • Manage deployments on YARN, Kubernetes and Mesos
  • Diagnose and debug advanced Spark applications

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 lag with execution times multiplied by 5 to 10, generating explosive cloud costs up to 50k€/month unnecessarily.

  • Memory leaks cause critical crashes, losing 20% of real-time streaming data, and delaying business insights from days to hours.

  • Teams lose 30% productivity on manual debugging, facing competition that scales linearly.

  • Risk of GDPR non-compliance with unoptimized shuffles exposing sensitive data.

  • Invest now to avoid these pitfalls and boost Big Data ROI x3 from the first quarter.

Allan Busi
Allan Busi

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Day 1: Spark Performance Optimization (tuning, partitions, executors)

Dive into advanced Apache Spark optimization, configure partitions and executors on terabyte datasets through practical exercises, analyze DAG stages with Spark UI, reduce costly shuffles, produce before/after benchmarks to measure x10 gains, integrate persistent caches to accelerate iterations.

Module 2Day 2: Spark SQL and Catalyst Optimizer (complex queries, UDF)

Build advanced SQL pipelines with Apache Spark, write massive joins and window functions on DataFrames, leverage Catalyst to predict and optimize execution plans, create scalable UDFs in Python/Scala, test on real TPC-DS cases, generate materialized views to boost daily performance.

Module 3Day 3: Spark Structured Streaming (real-time, fault-tolerance)

Develop continuous streaming applications with Apache Spark, integrate Kafka and real-time sources via live exercises, manage exactly-once semantics and watermarks, scale on dynamic clusters, simulate failure scenarios to test resilience, produce Kafka-Spark dashboards for production monitoring.

Module 4Day 4: Machine Learning with MLlib (pipelines, hyperparameter tuning)

Build distributed ML models on Apache Spark, chain transformers and estimators in MLlib pipelines, apply CrossValidator for automatic tuning, integrate TensorFrames for deep learning, train on million-record datasets via hands-on labs, deploy PMML models for scalable real-time scoring.

Module 5Day 5: Deployment, Monitoring and Best Practices (YARN, Kubernetes)

Deploy Spark apps on YARN and Kubernetes through live coding, configure Kerberos security and dynamic allocators, monitor with Ganglia/Prometheus via exercises, debug OOM and spills on real cases, synthesize best practices in a deliverable checklist, prepare for immediate production certification.

Evaluation method

  • Daily interactive quizzes
  • Final project on simulated cluster
  • Code review by trainer
  • Advanced Spark certification MCQ

Learning method

  • Practical exercises on Jupyter and Databricks
  • Fortune 500 company case studies
  • Unlimited replay videos
  • Massive open data datasets

Methods, materials and delivery

The Advanced Apache Spark Training - Optimize Your Big Data Jobs 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 Your Big Data Jobs 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 Your Big Data Jobs 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

4.9 · +100 verified reviews
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
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.

Step 1

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.
Step 2

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.
Step 3

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.
Step 4

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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