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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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30 free minutes with a training advisor — no commitment.
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Artificial Intelligence training in San Francisco in October 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Professional Training training in New York in September 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Professional Training training in Dallas in July 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Explore the projected return on investment from no-code training programs for businesses by March 2026, including cost savings, productivity gains, and real-world case studies.
Don't let this gap widen
Without Redshift expertise, your clusters underperform by 40%, inflating AWS costs by +30% annually (up to 50k€/year for 10 TB).
Slow queries cause analytics delays, 15% revenue loss in real-time BI.
Unforeseen downtimes (average 4h/month) expose critical data.
Poorly managed scaling blocks growth, with 25% migration failures.
Lack of monitoring = late alerts, GDPR fines up to 4% revenue.
Invest 28h for x10 ROI in data efficiency.
The Training Redshift Expert - Optimize Performance and Scalability 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 Expert - Optimize Performance and Scalability 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 Expert - Optimize Performance and Scalability 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 Redshift architecture by configuring DC2 and RA3 clusters via AWS Console and CLI, test leader/follower nodes on real datasets, migrate complex schemas from PostgreSQL, create distributed and sorted tables to boost queries, perform practical exercises on compression and vacuuming, produce scalable diagrams at the end of the day.
Master optimization by analyzing execution plans with EXPLAIN, rewrite slow queries on 100 GB datasets, configure Workload Management to prioritize critical jobs, test materialized views and AQL for 50% gains, simulate real e-commerce cases with timed exercises, generate customized performance reports.
Learn to dynamically scale clusters for load spikes, enable concurrency scaling on variable workloads, implement automated snapshots and point-in-time recovery, configure multi-AZ for 99.99% availability, practice via API on failure scenarios, produce DR plans and no-downtime resize simulations.
Integrate Redshift with AWS Glue for automated ETL, deploy CloudWatch dashboards with custom metrics, strengthen security via IAM roles and KMS encryption, test federated queries on S3 and Aurora, complete final project on data lake pipeline, export certifiable deliverables for professional portfolio.
Target audience
Data Engineers, Data Architects, Big Data Analysts upskilling on Redshift.
Prerequisites
Advanced SQL mastery, data warehousing experience, AWS S3 and EC2 knowledge.
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