Loading...
Please wait a moment
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.
Which format do you prefer?
30 free minutes with a training advisor — no commitment.
Loading available slots...
Cybersecurity training in Oklahoma City in December 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
No-Code / Low-Code training in Leeds in November 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Master competitive analysis skills essential for product teams with this step-by-step guide, including tools, frameworks, and 2026 trends like AI-driven insights.
Artificial Intelligence training in Raleigh in June 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Don't let this gap widen
Sans maîtrise d'Azure Stream Analytics, les pipelines de données en temps réel génèrent des latences critiques, rendant 40 % des insights obsolètes avant même leur exploitation.
Les entreprises paient le prix fort : en moyenne 150 000 € de pertes annuelles par incidents de traitement défaillant, avec 65 % des échecs en streaming IoT liés à une configuration inadéquate.
Votre compétitivité s'effondre, exposant l'entreprise à une perte de 20 % de parts de marché et menaçant directement votre avancement face à des équipes agiles.
Chaque semaine sans expertise avancée multiplie ces risques, transformant des opportunités en catastrophes coûteuses.
The Maîtriser Azure Stream Analytics : Analyse de flux de données en temps réel 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 Azure Stream Analytics : Analyse de flux de données en temps réel 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 Azure Stream Analytics : Analyse de flux de données en temps réel 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.
Vue d’ensemble de l’architecture Azure, introduction aux services de data streaming (Event Hub, IoT Hub, Blob Storage), cas d’usages industriels de l’analyse de données en temps réel, positionnement d’Azure Stream Analytics, scénarios d’intégration.
Création de premiers jobs Stream Analytics, configuration des entrées (IoT Hub, Event Hub, Storage), rédaction de requêtes SQL pour la manipulation de flux (agrégation, fenêtrage temporel, calculs de tendances, filtrage), gestion des anomalies et des outliers, connexion aux sinks (SQL Database, Power BI, Storage).
Gestion de la sécurité et des accès, optimisation des performances et scaling, surveillance des jobs (metrics, logs, alertes), troubleshooting, best practices pour la productivité et la résilience, automatisation des déploiements avec Azure DevOps, étude de cas et réalisation d’un projet fil rouge d’analyse de flux temps réel.
Target audience
Ingénieurs data, développeurs, architectes cloud et responsables de projets BI cherchant à déployer des solutions d’analyse en temps réel sur Azure.
Prerequisites
Bonne maîtrise du cloud computing, connaissances en bases de données et expérience avec le langage SQL.
Loading...
Please wait a moment





























