Training ClickHouse - Optimizing OLAP Analysis at Petabyte Scale

Very demanding course · Expertise required

$7,875

  • 5 days
  • Onsite
  • 10 people max.
Ref: FLP350
10 people max.
$7,875
In-company rate: from $14,175 for the whole teamExpertise rate: $1,575 per day, reflecting the difficulty level
On-site and certification exam on quote
5 days
Onsite

Don't let this gap widen

Why this program matters

  • Without ClickHouse mastery, enterprise OLAP queries take 50x longer, wasting 30% of annual data budgets on unnecessary compute.

  • 68% of Big Data incidents in 2025 stem from unoptimized databases, costing an average of 250k€ per performance breach.

  • Data teams without ClickHouse skills lose 40% competitiveness against rivals scaling to petabyte.

  • Every quarter without training widens the gap, risking career obsolescence and massive market losses.

Alicia DIOH, Managing Director · Finance, AI & Management trainer
Alicia DIOH

Managing Director · Finance, AI & Management trainer

73%productivity gap
×3cost of inaction
Flag of the United StatesBuilt for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone

Trusted by — schools, companies and industrial groups

41,116 programs · 25 countries

  • Aptar
  • ArcelorMittal
  • Equans
  • EDF
  • Ubisoft
  • Microsoft
  • Atos

Every program built with a dedicated engineer

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

ClickHouse training 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

Program

ClickHouse curriculum: 5 modules over 5 days

Module 1 : Architecture: 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 2 : Query 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 3 : Data 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 4 : Security 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 5 : Advanced 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.

How ClickHouse skills are assessed

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

How the ClickHouse course is taught

  • 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

ClickHouse training: access and practical arrangements

The Training ClickHouse - Optimizing OLAP Analysis at Petabyte Scale 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 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

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 ClickHouse 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.

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

ClickHouse: frequently asked questions

Which tools are used in ClickHouse training?+
Hands-on work runs on zooKeeper, shards, replicas, materialized Views, sampling and real-Time Ingestions. Those tools come from the ClickHouse program itself, delivered on site over 5 days, so participants practise on the stack they will use at work.
What can participants do after ClickHouse training?+
They can master ClickHouse's distributed architecture for massive professional analyses, optimize complex real-time OLAP queries for enterprises and implement scalable clusters with sharding and replication. Those are the stated objectives of the ClickHouse program at Expert level, checked by the end-of-session assessment.
What does the ClickHouse program cover, day by day?+
Day 1: Architecture: Deploying ClickHouse in a Distributed Cluster (ZooKeeper, shards, replicas). Day 2: Query Optimizations: OLAP Tuning for Extreme Performance (Materialized Views, Sampling). Day 3: Data Integrations: Connecting ClickHouse to Kafka and Spark (Real-Time Ingestions). Day 4: Security and Monitoring: Hardening ClickHouse for Critical Environments (RBAC, Prometheus). Day 5: Advanced 2026 Cases: ML Integrations and Infinite Scalability (TensorFlow, Future Projections). The ClickHouse program runs over 5 days, delivered on site.
How is ClickHouse training assessed?+
Assessment relies on expert MCQ on ClickHouse optimizations and architectures, practical evaluation via complete OLAP red thread project and oral defense of the deployed and optimized cluster. Learni issues a completion certificate together with the individual assessment report at the end of the ClickHouse program, which an L&D team can file as evidence.
How much does ClickHouse training cost per participant?+
ClickHouse training costs $7,875 per participant. For an in-company team, the flat rate starts at $14,175 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 ClickHouse 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 ClickHouse 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 ClickHouse training?+
Advanced SQL mastery, experience with distributed databases (Hadoop, Cassandra), Linux and Python scripting.
Is a certificate issued after ClickHouse 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 ClickHouse 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.
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