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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 Snowflake - Optimizing Scalable Cloud Data Warehouse 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 Snowflake - Optimizing Scalable Cloud Data Warehouse 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 Snowflake - Optimizing Scalable Cloud Data Warehouse 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 setup and customization of a professional Snowflake account, configure virtual warehouses tailored to mixed workloads, analyze and optimize complex queries using EXPLAIN and query profiles, implement resource monitors to control costs and credits, complete practical exercises on real enterprise datasets, produce an optimization report with concrete recommendations to reduce cloud bills by 30%.
Build automated pipelines with streams, tasks, and Snowpark for Python/Scala, integrate serverless transformations without infrastructure management, implement RBAC roles and row access policies for strict governance, test secure data sharing with external partners via secure views, apply time travel and zero-copy cloning to critical business cases, develop a deliverable red thread project with Snowflake monitoring dashboards, gain autonomy for immediate production deployment.
Target audience
Data engineers, BI analysts, data architects seeking to upskill on Snowflake in enterprise settings
Prerequisites
Advanced SQL mastery, cloud basics (AWS/Azure/GCP), data warehouse experience
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