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Databricks Training - Master Big Data Spark in 4 Days

Ref: MXK850
10 people max.
4200 € HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$170/day onsite · +$500 with certification exam
4 journées
distanciel

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Learning objectives

  • Discover the Databricks ecosystem and its collaborative advantages
  • Set up a Databricks workspace and create notebooks
  • Master the basics of Apache Spark for processing large volumes
  • Manipulate data with Spark SQL and DataFrames
  • Use Delta Lake for reliable pipelines
  • Get started with MLflow for reproducible machine learning
  • Deploy a complete Databricks project in a team

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 Databricks, your big data projects stall: 70% of teams lose 15h/week on faulty manual Spark configs, 40% of pipelines crash on volumes >1TB due to lack of Delta Lake, costs explode with poorly optimized clusters (+30% cloud budget), non-reproducible ML analyses lead to 25% critical business errors.

  • Stuck on Excel or obsolete Hadoop?

  • Lose data-driven opportunities while competitors scale 10x faster.

  • Invest 4 days to avoid these pitfalls and boost your data ROI x5 from the next month.

Fouzi Benzidane
Fouzi Benzidane

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Introduction to Databricks: workspace and notebooks (Spark tools, collaborative UI)

Dive into Databricks by creating your cloud account, set up a personalized workspace, explore the intuitive interface, launch your first Spark notebook, complete exercises on real datasets to visualize data, collaborate in real-time like a pro team, produce your first interactive charts, and leave with a ready-to-use environment.

Module 2Spark Core: DataFrames and transformations (RDD methods, basic ETL)

Master Spark by importing massive datasets, transform them with filter, groupBy, and join on real cases like e-commerce log analysis, optimize performance with caching, execute distributed jobs in a cluster, debug step-by-step, generate automated reports, experience 100x acceleration in processing, and gain confidence in big data.

Module 3Spark SQL and Delta Lake: queries and reliability (ACID, managed tables)

Advance to the next level with Spark SQL for ultra-fast queries on terabytes, create ACID Delta Lake tables for secure updates, manage merges on real customer data, implement time travel for audits, test fault resilience, build robust ETL pipelines, and experience the power of a reliable and scalable data lake.

Module 4MLflow and Databricks Projects: ML deployment (models, experiment tracking)

Finalize by integrating MLflow to track your ML experiments, train simple models on public datasets, deploy via REST serving, build an end-to-end predictive analytics project, present as a team with Unity dashboards, export production-ready deliverables, and leave certified with a concrete portfolio ready to scale your Databricks projects.

Evaluation method

  • Daily interactive quizzes, graded practical exercises, evaluated final project, internal Databricks beginner certification

Learning method

  • Active pedagogy with 70% hands-on practice, real business cases, individualized feedback, unlimited digital resources

Methods, materials and delivery

The Databricks Training - Master Big Data Spark 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 Databricks Training - Master Big Data Spark 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 Databricks Training - Master Big Data Spark 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

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TomFormation AWS — Cloud Practitioner
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« 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
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« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
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AmbreDWWM - Développement Web & Mobile React
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« 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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