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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 d'Amazon Redshift, vos clusters de données génèrent un surcoût moyen de 40 % sur les factures AWS, soit 15 000 € perdus par an pour une entreprise moyenne.
65 % des incidents de data warehouse proviennent d'une mauvaise optimisation, provoquant des downtimes de plusieurs heures et des pertes de revenus estimées à 50 000 € par événement.
Chaque mois sans expertise, votre équipe gaspille 150 heures en requêtes lentes et debugging, retardant les insights critiques et exposant l'entreprise à une concurrence impitoyable.
Ignorer Redshift menace directement la croissance business et votre ascension professionnelle dans un monde data-driven.
The Maîtriser Amazon Redshift : Le Guide Complet du Data Warehouse Cloud pour Entreprises 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 Maîtriser Amazon Redshift : Le Guide Complet du Data Warehouse Cloud pour Entreprises 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 Maîtriser Amazon Redshift : Le Guide Complet du Data Warehouse Cloud pour Entreprises 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.
Panorama des solutions data warehouse cloud. Notions fondamentales d’Amazon Redshift : architecture, terminologie, cas d’usages. Création d’un compte AWS, déploiement et configuration d’un cluster Redshift, gestion des endpoints et des utilisateurs, connexion via client SQL. Sécurité générale (groupes de sécurité, IAM).
Concevoir un schéma optimisé : distribution et tri, bonnes pratiques de modélisation (Star Schema, Snowflake). Chargement de données depuis S3, DynamoDB, fichiers locaux. COPY, UNLOAD, gestion des erreurs. Fonctions SQL propres à Redshift, analyses avancées avec des vues, UDF et fonctions analytiques. Premiers cas d’utilisation BI (Tableau, PowerBI, QuickSight).
Monitoring avec AWS CloudWatch. Analyse des performances : distribution, tri, vacuum, analyse, compression. Optimisation des coûts (type de nœuds, redimensionnement). Sécurité renforcée (chiffrement, audit, gestion fine des rôles et permissions avec IAM et groupes Redshift). Automatisation d’ingest et d’exports avec AWS Lambda, Step Functions, et Data Pipeline.
Target audience
Analystes de données, ingénieurs BI, développeurs, responsables IT souhaitant mettre en œuvre ou optimiser un entrepôt de données cloud avec Amazon Redshift
Prerequisites
Connaissances de base en bases de données relationnelles et en SQL
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