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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 AWS Redshift - High-Performance 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 AWS Redshift - High-Performance 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 AWS Redshift - High-Performance 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 creating AWS Redshift clusters tailored to massive data volumes, configure high-performance RA3 nodes with automatic storage management, integrate VPC security and IAM roles for controlled access, perform hands-on deployment exercises via AWS console and CLI, migrate datasets from S3 using optimized COPY commands, and build a production-ready functional cluster with CloudWatch monitoring by the end of the day.
Analyze performance using EXPLAIN and custom SORTKEY/DISTKEY, optimize workloads via Workload Management queues, test Serverless scalability on real enterprise cases, integrate Redshift Spectrum for external S3 queries without ETL, connect Glue for metadata cataloging, develop analytics dashboards with QuickSight, and generate performance reports with a quantified optimization plan for immediate enterprise ROI.
Target audience
Data engineers, Big Data architects, BI analysts seeking to optimize enterprise data warehouses
Prerequisites
Advanced SQL proficiency, AWS fundamentals (S3, EC2, IAM), data warehousing concepts
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