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
- Understand the fundamentals of Apache Spark and its Big Data ecosystem
- Install and configure a local and distributed Spark environment
- Manipulate RDDs for basic transformations and actions
- Use Spark SQL to query structured datasets
- Process DataFrames with optimized operations
- Execute and debug Spark jobs on real-world cases
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 mastering Apache Spark, your Big Data processing remains slow and costly: imagine wasting 70% of time on manual ETLs with Pandas, which crash on terabytes of data.
Your projects fail 60% of the time due to lack of distributed optimization, like 80% of junior data teams according to Gartner.
Competitors scale 10x faster, you miss critical business opportunities.
Job failures waste thousands of euros in unused cloud resources.
With obsolete MapReduce skills, your CV stagnates against a market demanding Spark for 90% of Big Data jobs.
Invest now to boost productivity x5 and avoid these costly pitfalls.
Program
Module 1Introduction to Apache Spark: key concepts, installation (Scala, Python, Jupyter)
Discover Spark's advantages over Hadoop through an interactive demo, install the environment on your machine following a step-by-step tutorial, launch Spark Shell to explore RDDs, complete your first CSV file reading exercises, apply map and filter on real datasets like web logs, produce a Jupyter notebook as a deliverable with visualized results.
Module 2Advanced RDDs: transformations, actions, persistence (Spark Core tools)
Dive into RDDs by practicing join, groupBy and reduceByKey on large datasets, test in-memory persistence to speed up jobs, simulate a local cluster with multiple workers, analyze real cases like e-commerce sales aggregation, debug common errors via Spark UI, deliver a functional ETL script ready to scale.
Module 3Spark SQL and DataFrames: optimized queries (DataFrames, Catalyst)
Master Spark SQL by writing queries on DataFrames as on a SQL database, convert RDDs to DataFrames for Catalyst optimization, practice window functions and UDFs on structured JSON/Parquet datasets, integrate Pandas via PySpark for exploratory analysis, process a real client BI reporting case, generate an interactive dashboard as a deliverable.
Module 4Spark Projects and Deployment: distributed jobs, monitoring (Spark Submit, YARN)
Build a complete ETL pipeline on massive data in distributed mode, deploy via Spark Submit on a mini-cluster, monitor performance with Spark UI and logs, optimize jobs to reduce execution time by 50%, apply to a final project like product recommendation, submit a portfolio of source codes and reports ready for production.
Evaluation method
- Daily interactive quizzes
- Final graded project based on practical criteria
- Self-assessment via portfolio
Learning method
- Hands-on exercises 70% of the time
- Real business cases
- Shared Jupyter notebooks
Methods, materials and delivery
The Training Apache Spark - Efficiently Process Your Big Data in 4 Days 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 - Efficiently Process Your Big Data in 4 Days 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 - Efficiently Process Your Big Data in 4 Days 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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