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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 Azure Data Factory - Expert ETL Orchestration and Data Integration 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 Azure Data Factory - Expert ETL Orchestration and Data Integration 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 Azure Data Factory - Expert ETL Orchestration and Data Integration 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.
Dive into the Azure Data Factory environment, configure linked services for hybrid sources like SQL Server and Blob Storage, model parameterized datasets and complex pipelines, perform practical exercises on a real enterprise ETL case, test schedule and tumbling window triggers, produce your first functional pipeline with trainer validation for immediate implementation.
Master data flows for massive transformations, use mapping data flows with multiple sinks/sources like Azure Synapse and Databricks, apply joins, aggregations, and deduplications on large datasets, optimize via partitioning and caching, develop a complete ETL flow on real enterprise data, measure performance and generate execution reports for immediate productivity gains.
Orchestrate complex workflows with control flow activities like ForEach and Switch, integrate REST APIs and Azure functions, manage resilient errors via retry policies, configure advanced monitoring with Azure Monitor and alerts, apply to the enterprise red thread project involving data lakes and warehouses, analyze logs for automatic tuning and scalability without interruption.
Implement expert security with RBAC, managed identities, and encryption, integrate Microsoft Purview for data lineage, deploy via CI/CD Git and ARM templates, optimize costs via auto-scale and data preview, finalize the red thread project with a complete audit, prepare for certification, and export production-ready deliverables for secure digital transformation of your enterprise.
Target audience
Data engineers, Big Data architects, corporate ETL managers seeking to upskill in Azure
Prerequisites
Mastery of Azure fundamentals, advanced SQL, traditional ETL, Python for data processing
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