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Training ClickHouse - Optimizing OLAP Analysis at Petabyte Scale

Ref: FLP350
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 ClickHouse's distributed architecture for massive professional analyses
  • Optimize complex real-time OLAP queries for enterprises
  • Implement scalable clusters with sharding and replication
  • Integrate ClickHouse with data pipelines (Kafka, Spark) with certifications
  • Deploy advanced security and monitoring for production
  • Develop skills in performant columnar data modeling

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.

Fouzi Benzidane
Fouzi Benzidane

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Architecture: Deploying ClickHouse in a Distributed Cluster (ZooKeeper, shards, replicas)

Configuration of a high-availability ClickHouse cluster on Linux servers, use of ZooKeeper for coordination, creation of sharded and replicated tables with MergeTree engine, practical exercises on terabyte datasets, failover and load balancing tests, production of a documented cluster schema ready for professional production.

Module 2Query Optimizations: OLAP Tuning for Extreme Performance (Materialized Views, Sampling)

Analysis and optimization of complex SQL queries on ClickHouse, implementation of Materialized Views for fast aggregations, sampling and projection techniques for sub-second queries, benchmarks on real enterprise cases with 1PB data, exercises refactoring slow queries, generation of performance reports and customized optimization plans.

Module 3Data Integrations: Connecting ClickHouse to Kafka and Spark (Real-Time Ingestions)

Setup of continuous ingestion pipelines via Kafka Engine and JDBC, Spark integration for massive ETL to ClickHouse, real-time processing of JSON/Avro streams, simulations of high-velocity enterprise data flows, debugging and horizontal scaling exercises, creation of integrated Grafana dashboards for ingestion monitoring.

Module 4Security and Monitoring: Hardening ClickHouse for Critical Environments (RBAC, Prometheus)

Advanced RBAC configuration, row-level security and user quotas on ClickHouse, Prometheus and Grafana integration for real-time metrics, log audits and anomaly detection, exercises on simulated attacks and TLS hardening, deployment of S3-compatible incremental backups, production of certifying security policies for compliance.

Module 5Advanced 2026 Cases: ML Integrations and Infinite Scalability (TensorFlow, Future Projections)

Exploration of 2026 features like native ML with TensorFlow UDFs in ClickHouse, predictive modeling on massive datasets, exa-scale scaling with intelligent auto-sharding, workshops on real e-commerce and IoT use cases, development of custom apps with HTTP interface, finalization of red thread project with cloud deployment and skills certification.

Evaluation method

  • Expert MCQ on ClickHouse optimizations and architectures
  • Practical evaluation via complete OLAP red thread project
  • Oral defense of the deployed and optimized cluster

Learning method

  • Courses by ClickHouse expert trainer with production Big Data experience
  • Hands-on exercises on real multi-node clusters
  • Scalable red thread project from A to Z over 35 hours
  • Digital pedagogical support and provided source codes

Methods, materials and delivery

The Training ClickHouse - Optimizing OLAP Analysis at Petabyte Scale 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 ClickHouse - Optimizing OLAP Analysis at Petabyte Scale 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 ClickHouse - Optimizing OLAP Analysis at Petabyte Scale 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

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TomFormation AWS — Cloud Practitioner
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« la formation dev etait intense mais grave bien. merci Anthony Khelil »

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AmbreDWWM - Développement Web & Mobile React
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« 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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