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Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.
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30 free minutes with a training advisor — no commitment.
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Professional Training training in Memphis in October 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
No-Code / Low-Code training in Leeds in November 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Professional Training training in New York in September 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Professional Training training in Dallas in July 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Don't let this gap widen
Sans maîtrise ClickHouse, les queries OLAP d'entreprise prennent 50x plus de temps, gaspillant 30% des budgets data annuels en calcul inutile.
68% des incidents Big Data en 2025 proviennent de bases non-optimisées, coûtant en moyenne 250k€ par breach performance.
Les data teams sans compétences ClickHouse perdent 40% de compétitivité face aux concurrents scalant à petabyte.
Chaque trimestre sans formation creuse l'écart, risquant obsolescence carrière et pertes marché massives.
The Formation ClickHouse - Optimiser l'analyse OLAP à petabyte scale training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.
The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.
To ensure the quality of the Formation ClickHouse - Optimiser l'analyse OLAP à petabyte scale training, Learni provides the following teaching resources:
For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.
The assessment of skills acquired during the Formation ClickHouse - Optimiser l'analyse OLAP à petabyte scale training is carried out through:
Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Configuration d'un cluster ClickHouse haute disponibilité sur serveurs Linux, utilisation de ZooKeeper pour coordination, création de tables shardées et répliquées avec MergeTree engine, exercices pratiques sur datasets téraoctets, tests de failover et équilibrage de charge, production d'un schéma de cluster documenté et prêt pour production professionnelle.
Analyse et optimisation de queries SQL complexes sur ClickHouse, implémentation de Materialized Views pour agrégations rapides, techniques de sampling et projections pour sub-second queries, benchmarks sur cas réels d'entreprise avec 1PB data, exercices de refactoring queries lentes, génération de rapports de performance et plans d'optimisation personnalisés.
Mise en place de pipelines d'ingestion continue via Kafka Engine et JDBC, intégration Spark pour ETL massifs vers ClickHouse, traitement de streams JSON/Avro en temps réel, simulations de flux data d'entreprise à haute vélocité, exercices de débogage et scaling horizontal, création de dashboards intégrés avec Grafana pour monitoring ingestions.
Configuration RBAC avancée, row-level security et quotas utilisateurs sur ClickHouse, intégration Prometheus et Grafana pour metrics temps réel, audits de logs et détection anomalies, exercices sur attaques simulées et hardening TLS, déploiement de backups incrémentaux S3-compatibles, production de politiques de sécurité certifiantes pour compliance.
Exploration features 2026 comme ML natif avec TensorFlow UDFs dans ClickHouse, modélisation prédictive sur datasets massifs, scaling à exa-scale avec auto-sharding intelligent, ateliers sur use-cases e-commerce et IoT réels, développement d'apps custom avec HTTP interface, finalisation projet fil rouge avec déploiement cloud et certification compétences.
Target audience
Data engineers, architectes Big Data, analystes seniors en entreprise pour montée en compétences OLAP
Prerequisites
Maîtrise avancée SQL, expérience bases distribuées (Hadoop, Cassandra), Linux et scripting Python
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