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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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Don't let this gap widen
Sans maîtrise experte d'Amazon Athena, les queries S3 non optimisées explosent les coûts : jusqu'à 10x surévaluation par TB scanné selon AWS benchmarks 2023.
Les data teams perdent 40% temps en debugging lent, impactant délais BI critiques et revenus manqués estimés à 500k€/an pour PME data-driven.
Carrières stagnent sans compétences serverless avancées, exposant entreprises à fuites data et non-conformité RGPD.
Investissez dès maintenant pour scaler analyses sans risques.
The Formation Amazon Athena - Optimiser queries Big Data S3 experte 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 Amazon Athena - Optimiser queries Big Data S3 experte 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 Amazon Athena - Optimiser queries Big Data S3 experte 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 setups experts d'Amazon Athena, configurez des tables optimisées via AWS Glue, intégrez Lake Formation pour gouvernance data, réalisez des exercices pratiques sur partitioning dynamique, testez des queries initiales sur datasets massifs, produisez des rapports de performance baseline, appliquez des best practices serverless pour entreprises scalables.
Explorez les techniques expertes de query tuning avec Athena, convertissez données en Parquet/ORC pour compression, implémentez partitioning hiérarchique sur S3, analysez plans d'exécution via EXPLAIN, optimisez joins complexes sur téraoctets, mesurez gains via exercices benchmark, générez des scripts réutilisables pour pipelines production.
Maîtrisez les federated queries expertes d'Amazon Athena, connectez RDS et DynamoDB sans ETL, configurez connectors Lambda personnalisés, exécutez des analyses cross-data lakes, gérez latences en environnements hybrides, testez cas concrets e-commerce, produisez des dashboards intégrés QuickSight, sécurisez flux avec VPC endpoints.
Approfondissez la sécurité experte d'Amazon Athena, implémentez politiques IAM granulaires, segmentez via workgroups multi-équipes, activez CloudTrail pour audits queries, intégrez AWS Lake Formation pour ACL data, simulez breaches en ateliers pratiques, déployez encryption at-rest/transit, validez conformité RGPD pour entreprises critiques.
Concluez par scalabilité experte d'Amazon Athena, optimisez coûts via savings plans et query throttling, monitorez via CloudWatch metrics personnalisées, automatisez alertes anomalies, déployez ML inference pour query prediction, révisez projets capstone sur datasets réels, obtenez livrables certifiants, planifiez post-formation support entreprise.
Target audience
Data engineers seniors, architectes Big Data, analystes IT en entreprise cherchant une montée en compétences sur les data lakes serverless
Prerequisites
Maîtrise avancée d'AWS S3, SQL complexe, ETL pipelines et expérience en environnements Big Data production
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