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Training Data Lakehouse - Optimizing Enterprise Data Governance

Course created on July 27, 2026Updated on October 5, 2026

On quote$5,775

5 days
Onsite
10 people max.

Request a quote See the program

Ref: EWC598

10 people max.

On quote$5,775

In-company rate: on quotefrom $10,395 for the whole team

On-site and certification exam on quote

5 days

Onsite

Don't let this gap widen

Why this program matters

Without mastery of data lakehouses, companies suffer data silos that cause 25% productivity losses according to Gartner, with storage costs inflated up to 40% due to outdated architectures.
Analysis errors lead to flawed decisions, impacting 30% of revenues through missed insights on ERPs such as SAP or Odoo.
Your career stagnates amid rising demand for hybrid skills, risking professional obsolescence.
Invest now to convert these risks into lasting competitive advantages.

Trusted by — schools, companies and industrial groups

25,718 programs · 25 countries

Every program built with a dedicated engineer

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

Learning objectives

Master data lakehouse architecture for unified enterprise data governance.
Develop advanced pipelines with Delta Lake and Apache Iceberg in a professional context.
Optimize analytical performance by integrating ERP tools such as SAP and Odoo.
Implement data security and quality strategies certified for GDPR compliance.
Design scalable data lakehouses for real-time analytics and AI.
Acquire certified skills in massive data management to advance your career.

Program

Module 1Data Lakehouse Fundamentals: Hybrid Architecture and Governance (Delta Lake, Iceberg)

Discover advanced principles of data lakehouses combining the flexibility of data lakes and the reliability of warehouses, using Delta Lake for ACID transactions and Iceberg for open tables, through practical workshops on Databricks. Configure evolving schemas, implement metadata governance with exercises on real SAP ERP datasets, and produce an annotated data schema as a concrete deliverable to optimize enterprise management from day one.

Module 2Data Lakehouse Pipelines: Ingestion and Transformation (Spark, Kafka)

Build advanced ETL/ELT pipelines for data lakehouses using Apache Spark and Kafka, processing massive streams from ERPs like Odoo and Sage, and applying optimized transformations with Delta Live Tables. Perform hands-on exercises on incremental ingestion, schema evolution management, and fault resilience testing on real business cases, generating a functional pipeline as a deliverable to accelerate your professional analytical processes.

Module 3ERP Integration with Data Lakehouse: SAP, Odoo, and Federated Queries (Trino, Presto)

Integrate data lakehouses with professional ERPs like SAP and Odoo using advanced connectors, leverage Trino for federated queries on structured/unstructured data, and optimize massive joins with exercises on real volumes. Explore APIs for real-time synchronization, implement materialized views, and produce an integrated dashboard as a deliverable demonstrating certified enterprise management efficiency.

Module 4Data Lakehouse Performance and Optimization: Tuning and Scalability (Databricks, Snowflake)

Optimize data lakehouse performance with advanced Spark tuning on Databricks and Snowflake, analyze storage/query costs via Z-ordering and compaction, and apply benchmarks on large SAP ERP datasets. Conduct exercises on dynamic partitioning, auto-scaling, and latency gains measurement, delivering a concrete optimization report for proven enterprise cost savings.

Module 5Security, ML, and Data Lakehouse Deployment: Advanced Governance (Unity Catalog, MLflow)

Secure your data lakehouse with Unity Catalog for fine-grained access control, integrate MLflow for machine learning pipelines on ERP data like Odoo, and deploy in production mode with CI/CD. Practice GDPR audits, incident simulations, and real-time AI use cases, culminating in a capstone project deliverable certifying your professional data management skills in the enterprise.

Evaluation method

Daily interactive quizzes to validate technical knowledge.
Final project on a real ERP/data lakehouse case with personalized feedback.
Qualiopi-certified attestation recognized for CPF and OPCO.

Learning method

70% hands-on practice with exercises on real cloud environments.
Real-world case studies from production ERP systems in companies.
Agile methods and collaborative remote workshops.
Unlimited access to replays and post-training resources.

Methods, materials and delivery

The Training Data Lakehouse - Optimizing Enterprise Data Governance 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 Training Data Lakehouse - Optimizing Enterprise Data Governance 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 Data Lakehouse - Optimizing Enterprise Data Governance 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

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.

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

Frequently asked questions

Which tools are used in Data Lakehouse training?+

Hands-on work runs on delta Lake, iceberg, spark, kafka, trino and presto. Those tools come from the Data Lakehouse program itself, delivered on site over 5 days, so participants practise on the stack they will use at work.

What can participants do after Data Lakehouse training?+

They can master data lakehouse architecture for unified enterprise data governance, develop advanced pipelines with Delta Lake and Apache Iceberg in a professional context and optimize analytical performance by integrating ERP tools such as SAP and Odoo. Those are the stated objectives of the Data Lakehouse program at Advanced level, checked by the end-of-session assessment.

What does the Data Lakehouse program cover, day by day?+

Day 1: Data Lakehouse Fundamentals: Hybrid Architecture and Governance (Delta Lake, Iceberg). Day 2: Data Lakehouse Pipelines: Ingestion and Transformation (Spark, Kafka). Day 3: ERP Integration with Data Lakehouse: SAP, Odoo, and Federated Queries (Trino, Presto). Day 4: Data Lakehouse Performance and Optimization: Tuning and Scalability (Databricks, Snowflake). Day 5: Security, ML, and Data Lakehouse Deployment: Advanced Governance (Unity Catalog, MLflow). The Data Lakehouse program runs over 5 days, delivered on site.

How is Data Lakehouse training assessed?+

Assessment relies on daily interactive quizzes to validate technical knowledge, final project on a real ERP/data lakehouse case with personalized feedback and qualiopi-certified attestation recognized for CPF and OPCO. Learni issues a completion certificate together with the individual assessment report at the end of the Data Lakehouse program, which an L&D team can file as evidence.

How much does Data Lakehouse training cost per participant?+

Data Lakehouse training is priced on quote. The amount depends on headcount, format and how far the syllabus is tailored to your team. A detailed quote is sent within one business day, and team pricing covers the whole group from the second participant.

How long does Data Lakehouse training take?+

5 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 Data Lakehouse 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 Data Lakehouse training?+

Solid experience in data engineering, mastery of Spark, advanced SQL and Python, and knowledge of ERP integration such as SAP or Odoo.

Is a certificate issued after Data Lakehouse 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.

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