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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 de l’ingestion massive de données via Azure Event Hubs, vos pipelines saturent sous les pics de trafic, générant une latence moyenne de 40 % qui bloque les insights en temps réel.
Chaque incident coûte 50 000 € en moyenne en pertes d’exploitation et remédiation, d’après des rapports Gartner sur les fuites de données.
70 % des brèches en flux temps réel sont liées à des failles de sécurité ou d’intégration défaillante, exposant l’entreprise à des amendes RGPD et une perte de confiance clients.
Votre architecture obsolète freine la compétitivité, tandis que chaque mois sans expertise creuse un écart de 20 % en performance data – le risque de relégation carrière est imminent.
The Maîtriser l’Ingéstion Massive de Données avec Azure Event Hubs : Techniques, Sécurité et Intégration 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 l’Ingéstion Massive de Données avec Azure Event Hubs : Techniques, Sécurité et Intégration 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 l’Ingéstion Massive de Données avec Azure Event Hubs : Techniques, Sécurité et Intégration 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.
Définition, positionnement et architecture Event Hubs face à Kafka et autres brokers. Scénarios Big Data, IoT, Analytics. Understand Event Publishers and Consumers. Premiers pas : création et paramétrage d’un Event Hub Namespace. Démos pratiques.
Émission et lecture de données (SDK .NET, Python, Java), partions, retention, scale-up/scale-out. Sécurisation avancée (ACL, SAS, RBAC, Azure AD Managed Identities, Event Hub Policies), monitoring, logs et diagnostics. Intégration avec Azure Stream Analytics, Data Lake, Databricks et Power BI.
Orchestration, autoscaling, gestion d’incidents. Optimisation des coûts, quotas, gestion des pics de charge et capture de données automatique. Scénarios d’architecture hybride et multi-cloud, disaster recovery, DevOps & IaC (ARM/Bicep/Terraform). Étude de cas pratique : aboutir à une architecture complète sécurisée et monitorée.
Target audience
Ingénieurs data, architectes cloud, développeurs et administrateurs IT souhaitant intégrer ou optimiser des flux de données en temps réel dans leur architecture via Azure Event Hubs.
Prerequisites
Bonne compréhension des fondamentaux du cloud et notions de bases sur le traitement des données (Big Data, IoT, Analytics). Connaissance générale de Microsoft Azure recommandée.
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