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.
Databricks Training - Master Delta Lake and Data Scalability
Trusted by — schools, companies and industrial groups
40,840 programs · 25 countries
Every program built with a dedicated engineer
Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft and Microsoft.
Databricks training 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
Databricks curriculum: 4 modules over 4 days
Module 1 : Databricks 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 2 : Delta 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 3 : MLflow 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 4 : Workflows 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%.
How Databricks skills are assessed
- Daily interactive quizzes, graded practical exercises, final project on a business case, internal certification.
How the Databricks course is taught
- 70% hands-on on Databricks labs, 30% applied theory, alternation of exercises and personalized feedback.
Databricks training: access and practical arrangements
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.
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 Databricks 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.
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.
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
FAQ
Databricks: frequently asked questions
Which tools are used in Databricks Training training?+
Hands-on work runs on spark SQL, python, reliability and versioning. Those tools come from the Databricks Training program itself, delivered on site over 4 days, so participants practise on the stack they will use at work.
What can participants do after Databricks Training training?+
They can configure optimized Databricks clusters for your workloads, implement Delta Lake for reliable and scalable tables and develop advanced ETL pipelines with Spark Structured Streaming. Those are the stated objectives of the Databricks Training program at Intermediate level, checked by the end-of-session assessment.
What does the Databricks Training program cover, day by day?+
Day 1: Databricks Fundamentals: Notebooks and Clusters (Spark SQL, Python). Day 2: Delta Lake: Advanced ACID Data Management (Reliability, Versioning). Day 3: MLflow and Machine Learning: Tracking and Model Deployment. Day 4: Workflows and Optimization: Jobs, Unity Catalog, Monitoring. The Databricks Training program runs over 4 days, delivered on site.
How is Databricks Training training assessed?+
Assessment relies on daily interactive quizzes, graded practical exercises, final project on a business case, internal certification. Learni issues a completion certificate together with the individual assessment report at the end of the Databricks Training program, which an L&D team can file as evidence.
How much does Databricks Training training cost per participant?+
Databricks Training training costs $4,620 per participant. For an in-company team, the flat rate starts at $7,865 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 Databricks Training training take?+
4 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 Databricks 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 Databricks Training training?+
Basics in Python or SQL, knowledge of Spark, experience in data manipulation.
Is a certificate issued after Databricks 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 Databricks 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.
Your professional training, anywhere
Let's build your Databricks 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
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