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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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Don't let this gap widen
Sans maîtrise Amazon Athena, vos queries sur S3 scannent 10x plus de données inutiles, gonflant les coûts AWS de 200% à 500€/mois par TB analysé.
Les data teams non expertes perdent 30h/semaine en debugging lent, causant retards critiques sur insights business et pertes de 15% de CA e-commerce.
En 2024, 68% des data engineers AWS échouent à scaler Athena, risquant audits conformité GDPR et évictions projets stratégiques.
Chaque trimestre sans compétences expert creuse l'écart compétitif face à rivaux optimisés.
The Formation Amazon Athena - Analyser pétaoctets de données en secondes 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 - Analyser pétaoctets de données en secondes 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 - Analyser pétaoctets de données en secondes 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.
Installation d'un environnement expert Amazon Athena connecté à S3, configuration de crawlers Glue pour schémas automatisés, mise en place de partitioning dynamique sur datasets massifs, tests de queries SQL optimisées sur téraoctets de données, exercices pratiques sur bucketing Hive et ORC/Parquet, production d'un premier pipeline scalable avec métadonnées enrichies, retours immédiats du formateur pour gains de performance immédiats.
Exploration de fonctions avancées comme UNNEST pour tableaux JSON imbriqués, rédaction de CTEs récursives sur logs pétaoctets, optimisation de joins sur partitions multiples avec broadcast, cas concrets d'analyse e-commerce temps réel, exercices sur window functions pour rankings et percentiles, génération de rapports interactifs via Athena Federated Query, validation par benchmarks montrant réductions de temps d'exécution jusqu'à 80%.
Connexion Amazon Athena à Lake Formation pour gouvernance fine des datasets, intégration avec SageMaker pour queries préparatoires ML sur S3, federation avec RDS et Redshift pour hybrid queries, déploiement de dashboards QuickSight live sur résultats Athena, ateliers pratiques sur EMR pour preprocessing avant analyse, création de pipelines end-to-end avec Lambda triggers, livrables incluant scripts réutilisables pour équipes data en production.
Analyse de coûts via Query Execution Analyzer et Savings Plans, tuning workgroups pour concurrency et timeouts, implémentation IAM policies et Lake Formation permissions granulaires, monitoring CloudWatch avec alarmes custom sur scans S3, exercices sur compression avancée et columnar stats, simulation de pics de charge pour scalabilité, finalisation d'un projet fil rouge certifiant avec audit complet et plan d'optimisation chiffré.
Target audience
Data engineers, analystes BI avancés, architectes AWS pour montée en compétences sur queries massives
Prerequisites
Maîtrise SQL avancé, expérience Amazon S3 et AWS Glue, partitioning de données columnar
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