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Training Apache Iceberg - Optimizing Scalable Data Lakes

Ref: FMU170
10 people max.
From $7,350 HT / per person
Pay in 3 installments · On-site on request · +$540 with certification exam
5 days
Remote

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Learning objectives

  • Master Apache Iceberg's ACID architecture for professional data lakes
  • Implement schema evolution and dynamic partitioning in enterprise settings
  • Integrate Apache Iceberg with Spark, Trino, and Flink (certified)
  • Optimize query performance on petabytes of data
  • Leverage time travel and snapshots for advanced governance
  • Deploy certified data pipelines with Iceberg expertise
  • Develop automated maintenance for production environments

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 this upskilling, your team accumulates a technological gap that translates directly into productivity loss.

  • Organizations that don't train their talents on key topics see their competitiveness drop.

  • Every quarter without training is a gap widening with competitors who invest.

  • The cost of inaction quickly exceeds that of well-targeted training.

Allan BUSI
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction

Program

Module 1Apache Iceberg Architecture: Advanced 2026 Features (ACID Metadata, Manifests)

Dive into Apache Iceberg's distributed architecture with a focus on 2026 evolutions, configure a Spark cluster and MinIO for Iceberg tables, explore manifests, metadata files, and ACID transactions, hands-on exercises on creating scalable data lakes, commit initial data with consistency validation, produce an architectural analysis report for your enterprise use case.

Module 2Apache Iceberg Schema Management: Evolution and Partitioning (Merge-on-Read, Hidden Partitioning)

Master schema evolution without downtime using advanced ALTER TABLE, implement dynamic partitioning and merge-on-read for storage optimization, handle Parquet/ORC formats with Spark SQL, practical cases on refactoring existing data lakes, schema compatibility testing, generate partitioned materialized views, document strategies for professional data teams.

Module 3Apache Iceberg Integration: Spark, Trino, Flink (Connectors, Query Federation)

Integrate Apache Iceberg into hybrid ecosystems with Spark 4.x, Trino, and Flink for federated queries, configure Hive Metastore and REST catalogs, exercises on batch/streaming ingestion of terabytes, optimize cross-engine joins, real-world performance benchmarks on enterprise datasets, deploy unified ETL pipelines, export reproducible configurations for production.

Module 4Apache Iceberg Optimization: Performance and Maintenance (Compaction, Rewrite, Vacuum)

Optimize queries on large volumes via automatic compaction, manifest rewrites, and vacuuming obsolete files, tune Spark for Iceberg with Z-ordering and sorting, analyze profilers and Prometheus metrics, exercises achieving 70% latency reduction through proactive maintenance, real data warehouse migration cases, Airflow scripts for production routines, direct ROI measurement on your workload.

Module 5Advanced Apache Iceberg: Time Travel, Governance, Production 2026 (Branching, Security)

Leverage time travel and snapshots for GDPR-compliant audits, implement multi-version branching and row-level security, governance with Ranger and fine-grained access, deploy resilient Kubernetes Helm clusters, final exercises on real incident rollbacks, simulate data leaks and recovery, deliver complete red-thread project with Grafana monitoring, strategic scaling plan for enterprise.

Evaluation method

  • Expert MCQ on Apache Iceberg concepts and 2026 features
  • Practical evaluation via real data lake optimization
  • Project defense with performance metrics

Learning method

  • Courses delivered by an active expert data engineering trainer
  • Hands-on exercises on dedicated Spark Iceberg clusters
  • End-to-end data lake project spanning all 5 days
  • Detailed course materials and source codes provided

Methods, materials and delivery

The Training Apache Iceberg - Optimizing Scalable Data Lakes 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 Apache Iceberg - Optimizing Scalable Data Lakes 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 Iceberg - Optimizing Scalable Data Lakes 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 Training Apache Iceberg - Optimizing Scalable Data Lakes training cost?+
The individual price is $7,350 (USD). A detailed quote is sent within one business day.
How long is the Training Apache Iceberg - Optimizing Scalable Data Lakes training?+
The training lasts 5 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?+
Expertise in Apache Spark SQL, S3/HDFS data lakes, Delta Lake, Hadoop fundamentals, and data governance
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.
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