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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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Discover a comprehensive guide to equipping your team with essential digital ethics skills for responsible technology use. Prepare for 2026 regulations and trends with practical training strategies.
Professional Training training in Tucson in December 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Artificial Intelligence training in San Francisco in October 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Cybersecurity training in Brighton in July 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Don't let this gap widen
Ignorer AWS Glue 2026 condamne vos pipelines data à l'obsolescence : 65% des ETL traditionnels échouent en scalabilité selon Gartner 2025, générant des surcoûts cloud de 35% en moyenne.
Votre entreprise perd en agilité analytique, exposant à des décisions erronées coûtant millions, tandis que la concurrence certifiée AWS accélère ses insights.
Data engineers non formés stagnent, risquant reconversion forcée face à la demande explosive en compétences serverless.
Sécurisez performances et carrière via cette formation professionnelle experte.
The Formation AWS Glue 2026 - Optimiser ETL serverless avancés 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 AWS Glue 2026 - Optimiser ETL serverless avancés 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 AWS Glue 2026 - Optimiser ETL serverless avancés 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 évolutions majeures d'AWS Glue 2026 via des labs pratiques en distanciel, configurez des jobs ETL complexes avec PySpark pour transformer des téraoctets de données S3, exploitez Glue Studio pour des workflows visuels scalables, optimisez les performances par partitioning dynamique et caching intelligent, intégrez le monitoring CloudWatch avec alertes automatisées, testez sur cas réels d'entreprises, et produisez des livrables prêts pour déploiement en production, renforçant vos compétences professionnelles certifiantes.
Target audience
Data engineers seniors, architectes Big Data, DevOps cloud et responsables data dans les entreprises, pour une montée en compétences certifiante sur AWS Glue 2026
Prerequisites
Expertise avancée en AWS (S3, EMR, Athena), maîtrise PySpark/Scala, pipelines ETL en production, gestion de clusters Spark à grande échelle
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