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Training Trino - Optimizing Distributed Big Data Queries

Ref: QTI204
10 people max.
7000€ 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
5 journées
distanciel

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Learning objectives

  • Master Trino architecture for professional distributed queries
  • Develop complex queries on multi-source data lakes
  • Optimize Trino performance with enterprise connector tuning
  • Implement certified Trino data security and governance
  • Design scalable production Trino deployments
  • Integrate Trino into big data ETL pipelines
  • Deploy advanced Trino monitoring for zero incidents

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 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 · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Trino Architecture: Configuring High-Performance Clusters (Kubernetes, Docker, Scalability)

Dive into expert Trino deployment on Kubernetes, configure worker and coordinator nodes with Docker, test horizontal scalability with big data load simulations, integrate Hive Metastore and Iceberg catalog, perform practical exercises on a resilient 100-node cluster, produce an architecture diagram as an enterprise project deliverable, master optimized memory and CPU parameters for smooth queries.

Module 2Advanced Trino Queries: Distributed Joins and Windowing (ANSI SQL, Custom UDFs)

Build complex Trino queries on multi-table billion-row datasets, practice hash and broadcast joins on S3 and Kafka, implement window functions and advanced aggregations, develop integrated Java and Python UDFs, analyze execution plans with EXPLAIN, optimize using partitioning and bucketing in real data lake cases, generate immediate deliverable performance comparison reports.

Module 3Trino Connectors: Integrating Modern Data Lakes (Iceberg, Delta Lake, Hudi)

Master Trino connectors for Iceberg, Delta Lake, and Hudi, configure federated queries across multi-format Parquet and ORC, test real-time ACID transactions, integrate hybrid sources like Kafka and PostgreSQL, practice schema evolution and migrations without downtime, develop Trino-Spark ETL pipelines, produce a complete integration POC for enterprise data warehouse.

Module 4Trino Performance: Tuning and Monitoring (Query Stats, JMX, Prometheus)

Optimize Trino in-depth through query stats and spills analysis, tune spillers, memory, and exchange manager, deploy Prometheus and Grafana monitoring with alerts, simulate bottlenecks on 10TB datasets, apply caching and predicate pushdown, measure 5x speed gains in guided exercises, generate a custom production-ready dashboard deliverable.

Module 5Trino Security and Governance: RBAC and SSO (Ranger, LDAP, Audit Logs)

Implement fine-grained Trino RBAC security via Ranger and Sentry, configure SSO with Kerberos and OAuth, enable audit logs for GDPR compliance, test dynamic row and column masking, integrate Iceberg table governance, practice high-availability fail-over scenarios, finalize the red-thread project with secure deployment certifying expert skills.

Evaluation method

  • MCQ to validate Trino knowledge at the end of the training
  • Continuous assessment through advanced practical exercises
  • Defense of the Trino red-thread project before the trainer

Learning method

  • Instructor-led sessions by a production Trino expert trainer
  • Practical exercises on real enterprise big data cases
  • Progressive 35-hour Trino red-thread project
  • Complete course materials provided to participants

Methods, materials and delivery

The Training Trino - Optimizing Distributed Big Data Queries 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 Training Trino - Optimizing Distributed Big Data Queries 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 Trino - Optimizing Distributed Big Data Queries 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

4.9 · +100 verified reviews
★★★★★

« 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
★★★★★

« 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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