Apache Spark Training - Introduction to Distributed Big Data

$3,465

  • 3 days
  • Onsite
  • 10 people max.
Ref: ZRY141
10 people max.
$3,465
In-company rate: from $6,290 for the whole team
On-site and certification exam on quote
3 days
Onsite

Don't let this gap widen

Why this program matters

  • Without Apache Spark, your Big Data processing stalls: 70% of data analysts lose 15h/week on slow tools like Pandas, causing project delays multiplied by 10 and cloud costs inflated by 40%.

  • Imagine missing 25% of Big Data job opportunities requiring Spark, or erroneous analyses on wasted terabytes.

  • In 3 days, avoid these costly pitfalls, process 100 GB in minutes instead of days, boost your CV and immediately recoup your data investments.

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

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  • Notion
  • AMD
  • Apple

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

Apache Spark training objectives

  • Discover the fundamental concepts of Apache Spark
  • Install and configure a local Spark environment
  • Manipulate RDDs to transform datasets
  • Use Spark SQL and DataFrames effectively
  • Develop simple Spark applications
  • Apply Spark to concrete processing use cases
  • Optimize the basics for fast performance

Program

Apache Spark curriculum: 3 modules over 3 days

Module 1 : Introduction to Apache Spark: installation and first RDDs (Spark Core, SparkShell)

Dive into Apache Spark from the morning, easily install your local cluster with Spark and Hadoop, launch SparkShell to explore real datasets like web logs, create your first RDDs, apply map-filter-reduce transformations through interactive exercises, test count-collect actions, leave with a functional Jupyter notebook ready for your Big Data projects.

Module 2 : Advanced RDD Transformations and Spark SQL: distributed queries (DataFrames, SQL)

Master RDDs in depth on day 2, chain join-groupBy on massive volumes via real e-commerce cases, switch to Spark SQL for intuitive queries on DataFrames, integrate custom UDFs, optimize with cache-persist during timed exercises, produce actionable analytical deliverables, gain speed and confidence to scale your processing.

Module 3 : Spark Applications and Final Project: deployment and optimization (Spark Submit, tuning)

Conclude strongly with complete Spark apps, develop a distributed ETL on real IoT data, deploy via spark-submit in simulated cluster mode, tune partitions and memory to speed up 5x, integrate basic Spark Streaming, finalize a personal capstone project with report, obtain certificates and resources to shine in Big Data teams.

How Apache Spark skills are assessed

  • Daily interactive quizzes
  • Graded practical exercises
  • Final project with personalized feedback

How the Apache Spark course is taught

  • 70% hands-on with real datasets
  • Shared Jupyter notebooks
  • Unlimited access to video replays

Apache Spark training: access and practical arrangements

The Apache Spark Training - Introduction to 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 Apache Spark Training - Introduction to 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 Apache Spark Training - Introduction to 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 training?+
Hands-on work runs on spark Core, sparkShell, dataFrames, SQL, spark Submit and tuning. Those tools come from the Apache Spark Training program itself, delivered on site over 3 days, so participants practise on the stack they will use at work.
What can participants do after Apache Spark Training training?+
They can discover the fundamental concepts of Apache Spark, install and configure a local Spark environment and manipulate RDDs to transform datasets. Those are the stated objectives of the Apache Spark Training program at Beginner level, checked by the end-of-session assessment.
What does the Apache Spark Training program cover, day by day?+
Day 1: Introduction to Apache Spark: installation and first RDDs (Spark Core, SparkShell). Day 2: Advanced RDD Transformations and Spark SQL: distributed queries (DataFrames, SQL). Day 3: Spark Applications and Final Project: deployment and optimization (Spark Submit, tuning). The Apache Spark Training program runs over 3 days, delivered on site.
How is Apache Spark Training training assessed?+
Assessment relies on daily interactive quizzes, graded practical exercises and final project with personalized feedback. Learni issues a completion certificate together with the individual assessment report at the end of the Apache Spark Training program, which an L&D team can file as evidence.
How much does Apache Spark Training training cost per participant?+
Apache Spark Training training costs $3,465 per participant. For an in-company team, the flat rate starts at $6,290 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 training take?+
3 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 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 training?+
Basic knowledge of Python or Java programming, notions of SQL and data structures.
Is a certificate issued after Apache Spark Training 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 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.
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