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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 Soda 2026 - Optimizing Expert Data Observability 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 Soda 2026 - Optimizing Expert Data Observability 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 Soda 2026 - Optimizing Expert Data Observability 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 expert installation of Soda 2026 on cloud environments, configure automated scans on massive data lakes using Python and YAML, develop custom checks integrating ML for real-time anomaly detection, perform practical exercises on real enterprise cases such as validating faulty ETL flows, integrate Slack/Teams alerts and Grafana dashboards, produce a complete deliverable with a scalable monitoring plan and code review by the trainer for immediate production application.
Target audience
Data engineers, data scientists, and data architects for professional skill advancement
Prerequisites
Advanced proficiency in SQL, Python, ETL pipelines, and cloud tools such as AWS or GCP
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