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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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The Training: Master Azure Stream Analytics: Real-Time Data Analysis for Enterprises 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 Training: Master Azure Stream Analytics: Real-Time Data Analysis for Enterprises 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 Training: Master Azure Stream Analytics: Real-Time Data Analysis for Enterprises 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.
Overview of Azure solutions for real-time data processing. Streaming architecture concepts (sources, processing, outputs). Introduction to Azure Stream Analytics (ASA): associated services, use cases. Creating a first ASA job. Connecting to Event Hubs and IoT Hub.
Introduction to the Stream Analytics query language inspired by SQL. Analytical functions: temporal, aggregates, windowing. Joining input streams/various sources. Cleaning and enriching data in real-time. Integration scenarios with Power BI (live visualization) and storage to Data Lake, SQL, Cosmos DB.
Putting ASA jobs into production: scaling and partitioning configuration. Error handling and outlier events. Monitoring with Azure Monitor, alerts, and logs. Performance optimization and best architecture practices. Securing streams. Synthesis workshop: end-to-end processing of an industrial IoT chain.
Target audience
Data engineers, developers, cloud architects, IT professionals wishing to integrate and process real-time data streams on Azure
Prerequisites
Good understanding of the Azure environment, basic SQL knowledge, data modeling concepts
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