Training Apache Spark - Master Distributed Big Data

$5,775

  • 5 days
  • Onsite
  • 10 people max.
Ref: NGN128
10 people max.
$5,775
In-company rate: from $10,395 for the whole team
On-site and certification exam on quote
5 days
Onsite

Don't let this gap widen

Why this program matters

  • Without mastering intermediate Spark, your Big Data jobs take x10 longer, multiplying cloud costs by 5 (up to 100k€/year wasted).

  • 70% of projects fail due to poor optimization, losing critical market opportunities.

  • Untrained data engineers struggle against competition, with stagnant salaries of 10-20%.

  • Avoid streaming downtimes costing 50k€/hour in e-commerce, and imprecise ML models leading to wrong decisions (million € losses).

  • Invest 35h to multiply your productivity from tomorrow.

Alicia DIOH, Managing Director · Finance, AI & Management trainer
Alicia DIOH

Managing Director · Finance, AI & Management trainer

73%productivity gap
×3cost of inaction
Flag of the United StatesBuilt for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone

Trusted by — schools, companies and industrial groups

41,118 programs · 25 countries

  • Aptar
  • ArcelorMittal
  • Equans
  • EDF
  • Ubisoft
  • Microsoft
  • Atos

Every program built with a dedicated engineer

  • OpenAI
  • Anthropic
  • Mistral AI
  • NVIDIA
  • Google
  • Amazon Web Services
  • Microsoft Dynamics 365
  • Salesforce
  • ServiceNow
  • SAP
  • Oracle
  • Cisco
  • Fortinet
  • Palo Alto Networks
  • Aruba
  • VMware
  • Red Hat
  • Databricks
  • Snowflake
  • OVHcloud
  • Notion
  • AMD
  • Apple

Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft, Microsoft and Atos.

Apache Spark training objectives

  • Configure a scalable Spark cluster
  • Manipulate advanced DataFrames and Datasets
  • Optimize Spark job performance
  • Implement real-time Spark Streaming
  • Develop ML pipelines with MLlib
  • Deploy and monitor Spark applications
  • Integrate Spark with Kafka and Hadoop

Program

Apache Spark curriculum: 5 modules over 5 days

Module 1 : Spark Installation: Cluster and Environment (PySpark, Scala)

Install and configure a local and cloud Spark cluster, test with real datasets on Databricks, run your first advanced RDD jobs, analyze logs for debugging, produce an initial performance report that boosts your immediate confidence.

Module 2 : Spark SQL and DataFrames: Optimized Queries (Catalyst Optimizer)

Transform massive data into DataFrames, write complex SQL queries with joins and aggregations, optimize via caching and partitioning, apply to real e-commerce cases, generate temporary views and export to Parquet for x5 speed gains.

Module 3 : Performance Optimization: Tuning and Monitoring (Spark UI)

Profile your jobs with Spark UI, apply broadcast joins and predicate pushdown, tune executor memory and shuffle, test on terabyte datasets, reduce execution times by 70%, deliver a custom dashboard for production monitoring.

Module 4 : Spark Streaming: Real-Time Processing (Structured Streaming, Kafka)

Integrate Kafka to ingest live streams, code micro-batches with watermarks, handle late data and fault-tolerance, simulate a real-time IoT dashboard, produce automated alerts, master checkpoints for 99.9% resilience.

Module 5 : MLlib and Spark Projects: End-to-End Pipelines (GraphX, Deployment)

Build distributed ML models with MLlib, integrate GraphX for graph analytics, deploy via Spark Submit on Kubernetes, complete a capstone project on real data, evaluate metrics and deploy an automated enterprise-ready pipeline.

How Apache Spark skills are assessed

  • Daily interactive quizzes
  • Certified final project
  • Pair-programming feedback
  • Qualiopi Certificate

How the Apache Spark course is taught

  • 70% hands-on on real clusters
  • 30% applied theory
  • Free Databricks exercises
  • Real business cases

Apache Spark training: access and practical arrangements

The Training Apache Spark - Master Distributed Big Data 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 - Master Distributed 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 Training Apache Spark - Master Distributed 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 built for corporate L&D budgets and delivered onsite or remotely.

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.

Our method

How Learni guarantees the quality of your Apache Spark training

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.

A child walking to school with a backpack
Our social commitment

A school kit donated to a child for every training booked

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
Enroll and offer a kit
FAQ

Apache Spark: frequently asked questions

Which tools are used in Apache Spark training?+
Hands-on work runs on pySpark, scala, catalyst Optimizer, spark UI, structured Streaming and kafka. Those tools come from the Apache Spark program itself, delivered on site over 5 days, so participants practise on the stack they will use at work.
What can participants do after Apache Spark training?+
They can configure a scalable Spark cluster, manipulate advanced DataFrames and Datasets and optimize Spark job performance. Those are the stated objectives of the Apache Spark program at Intermediate level, checked by the end-of-session assessment.
What does the Apache Spark program cover, day by day?+
Day 1: Spark Installation: Cluster and Environment (PySpark, Scala). Day 2: Spark SQL and DataFrames: Optimized Queries (Catalyst Optimizer). Day 3: Performance Optimization: Tuning and Monitoring (Spark UI). Day 4: Spark Streaming: Real-Time Processing (Structured Streaming, Kafka). Day 5: MLlib and Spark Projects: End-to-End Pipelines (GraphX, Deployment). The Apache Spark program runs over 5 days, delivered on site.
How is Apache Spark training assessed?+
Assessment relies on daily interactive quizzes, certified final project and pair-programming feedback. Learni issues a completion certificate together with the individual assessment report at the end of the Apache Spark program, which an L&D team can file as evidence.
How much does Apache Spark training cost per participant?+
Apache Spark training costs $5,775 per participant. For an in-company team, the flat rate starts at $10,395 for the whole group, up to 8 people. The detailed quote, sent within one business day, adjusts the amount to the format and how far the syllabus is tailored to your team.
How long does Apache Spark training take?+
5 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.
Who pays for Apache Spark training?+
Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
What do participants need to know before Apache Spark training?+
Basics in Python or Scala, knowledge of Spark or Hadoop, experience in distributed programming.
Is a certificate issued after Apache Spark training?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.
Does Learni provide the equipment for Apache Spark training?+
No. A computer and a stable internet connection are required for each participant. Learni provides the learning platform, the trainer and all course materials.
Your professional training, anywhere

Let's build your Apache Spark learning path.

30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.

Reply within 24h · Vetted experts · USD invoicing · W-9 available
On-site & remote

Apache Spark training in your city

Available on-site and remotely. Pick your city to see the local training center.

Share in 2 clicks