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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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Artificial Intelligence training in Cardiff in May 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.
Cybersecurity training in Oklahoma City in December 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Professional Training training in Memphis in October 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Don't let this gap widen
Sans maîtrise de Polars, vos pipelines data perdent en moyenne 80% de vitesse par rapport aux concurrents, entraînant des analyses retardées de plusieurs heures sur datasets téraoctets.
Les data engineers non formés gaspillent 50% de temps en debugging lent avec Pandas, coûtant jusqu'à 200k€ annuels par équipe en productivité perdue.
En 2026, 65% des offres data senior exigent Polars, écartant les profils obsolètes et freinant les promotions.
Chaque trimestre sans compétences expertes expose votre entreprise à des décisions business erronées basées sur des traitements incomplets, creusant l'écart concurrentiel irrémédiablement.
The Formation Polars - Traiter des milliards de lignes en Rust 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 Polars - Traiter des milliards de lignes en Rust 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 Polars - Traiter des milliards de lignes en Rust 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.
Plongez dans les expressions Polars avancées pour transformer des datasets massifs, configurez des DataFrames lazy pour reporter les calculs jusqu'au scan final, manipulez des colonnes avec des fonctions vectorisées ultra-performantes en Rust, réalisez des exercices pratiques sur des logs d'entreprise de plusieurs Go, benchmarkez contre Pandas pour mesurer les gains x100 en vitesse, produisez des pipelines modulaires prêts pour production avec documentation complète et code review par le formateur expert.
Optimisez des joins complexes et groupements sur milliards de lignes avec streaming Polars, intégrez à Apache Arrow pour interopérabilité Kafka-Spark, développez des cas concrets d'analyse temps réel sur données IoT d'entreprise, testez des déploiements Dockerisés avec monitoring performances, construisez un projet fil rouge scalable livrable en fin de session, appliquez des techniques d'indexation et de partitioning pour réduire les temps de query de 90%, repartez avec compétences certifiantes pour booster vos pipelines data professionnels.
Target audience
Data engineers, data scientists, analystes BI experts en traitement de données massives pour reconversion professionnelle
Prerequisites
Maîtrise avancée de Rust ou Python, expérience avec Pandas ou PySpark, compétences en data processing distribué
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