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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 Redshift - Master the AWS 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 Redshift - Master the AWS 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 Redshift - Master the AWS 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.
Discover how to launch a Redshift cluster via the AWS console, configure nodes and VPC in practical exercises, test connectivity with SQL Workbench, migrate data from S3, and validate initial load tests to have an operational data warehouse by the end of the day.
Dive into performance optimization with distribution and sort keys, model in star schema on real business cases, analyze execution plans via EXPLAIN, refactor slow queries in collaborative workshops, and generate performant reports to boost your daily analyses.
Secure your cluster with IAM and VPC endpoints, integrate with EMR and QuickSight via practical ETL, automate backups and resizing with Lambda, monitor costs in real-time, and deploy a final project on real data for complete mastery of Redshift in production.
Target audience
Data analysts, BI engineers, data architects looking to upskill on Redshift.
Prerequisites
Advanced SQL mastery, AWS basics, experience with relational databases.
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