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Databricks Training - Master Delta Lake and Data Scalability

Ref: HON335
10 people max.
From $4,620 HT / per person
On-site on request · +$540 with certification exam
4 days
Remote

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Microsoft
Aptar
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Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
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Learning objectives

  • Configure optimized Databricks clusters for your workloads
  • Implement Delta Lake for reliable and scalable tables
  • Develop advanced ETL pipelines with Spark Structured Streaming
  • Manage the ML lifecycle with integrated MLflow
  • Automate workflows via Databricks Jobs
  • Optimize performance and costs on Unity Catalog
A child walking to school with a backpack
Our social commitment

A school kit donated to a child for every training

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

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.

Don't let this gap widen

Why this program matters

  • Without intermediate Databricks mastery, your data pipelines remain slow and costly: processing times multiplied by 5 on terabytes, cloud overcosts up to 50% due to poorly optimized clusters, loss of reliable data with 20% missing ACID errors, ML project delays impacting ROI by 30%, chaotic governance exposing to GDPR fines, and competitive disadvantage against teams scaling on Delta Lake/MLflow.

  • Invest 28 hours to avoid these pitfalls and generate annual savings of 20k€ per data engineer.

Allan BUSI
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction

Program

Module 1Databricks Fundamentals: Notebooks and Clusters (Spark SQL, Python)

Dive into the Databricks environment by configuring your first scalable clusters, creating collaborative notebooks to explore massive datasets, executing optimized Spark SQL queries on real cases like log analysis, and producing your first interactive reports with Delta Live Tables, while measuring immediate performance gains to boost your data productivity.

Module 2Delta Lake: Advanced ACID Data Management (Reliability, Versioning)

Master Delta Lake by implementing transactional tables on your large-scale data, managing time travel to restore previous versions in case of errors, optimizing merges and Z-order to accelerate queries by 10x, through practical exercises on e-commerce datasets, and generating production-ready deliverables that secure your ETL pipelines.

Module 3MLflow and Machine Learning: Tracking and Model Deployment

Integrate MLflow to track ML experiments, log metrics and artifacts on Databricks, train models on GPU clusters with Hyperopt, deploy via MLflow Models for scalable inference, through concrete cases like churn prediction, and create unified registries that accelerate your ML iterations by 50%.

Module 4Workflows and Optimization: Jobs, Unity Catalog, Monitoring

Automate your workflows with Databricks Jobs and Schedules on end-to-end pipelines, configure Unity Catalog for multi-team data governance, optimize cloud costs via autoscaling and spot instances, test on real projects with integrated monitoring, and deliver a portfolio of production-ready jobs that reduce your processing times by 40%.

Evaluation method

  • Daily interactive quizzes, graded practical exercises, final project on a business case, internal certification.

Learning method

  • 70% hands-on on Databricks labs, 30% applied theory, alternation of exercises and personalized feedback.

Methods, materials and delivery

The Databricks Training - Master Delta Lake and Data Scalability 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 Databricks Training - Master Delta Lake and Data Scalability 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 Delta Lake and Data Scalability 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.

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.

FAQ

Frequently asked questions

How much does the Databricks Training - Master Delta Lake and Data Scalability training cost?+
The individual price is $4,620 (USD). The team / on-site group package is shown on the course page. A detailed quote is sent within one business day.
How long is the Databricks Training - Master Delta Lake and Data Scalability training?+
The training lasts 4 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Basics in Python or SQL, knowledge of Spark, experience in data manipulation.
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
On-site & remote

This training across cities

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