Loading...
Please wait a moment
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.
Which format do you prefer?
30 free minutes with a training advisor — no commitment.
Loading available slots...
Artificial Intelligence training in San Francisco in October 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.
Discover how SAFe training enhances enterprise agility, key courses, benefits, and trends shaping implementations in March 2026. Prepare your organization for scalable success.
Discover the best warehouse management and logistics training options scheduled for March 2026, focusing on emerging trends like AI automation, sustainability, and supply chain resilience to boost your career.
Don't let this gap widen
Without advanced Redshift mastery, your clusters overcost 40-60% due to poor distribution keys, queries run 10x slower (hours instead of minutes), causing delays in critical business insights, estimated revenue losses of 100k€/year for data-driven SMEs.
70% data warehouse migration failures due to poor tuning, scalability blocked limiting growth, teams frustrated by unexpected downtimes, competitors outpaced by smooth analytics.
Invest 21 hours to avoid these pitfalls, recoup ROI in weeks.
The Training Redshift Advanced - Optimize AWS Performance and Costs 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 Advanced - Optimize AWS Performance and Costs 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 Advanced - Optimize AWS Performance and Costs 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 optimized clusters, configure VPC, maintenance parameters, and elastic scaling via practical exercises on the AWS console, analyze real-time metrics with CloudWatch, simulate resizing to reduce costs by 30%, produce performance reports, and test automated backups on real production cases.
Master execution plan analysis with EXPLAIN, select distribution and sort keys suited to your datasets, rewrite queries to accelerate by 50x, practice on TPC-DS workloads, use WLM for prioritization, generate automated vacuum/analyze, and validate gains via real benchmarks, transforming your pipelines into ultra-efficient machines.
Integrate Redshift with S3 via massive COPY/UNLOAD, leverage Spectrum for federated queries, deploy materialized views and AQUA, simulate end-to-end ETL with Glue, apply fine-grained IAM security, build custom monitoring dashboards, and conclude with a complete scalable project ready for your live environments.
Target audience
Data engineers, Big Data architects, BI analysts upskilling on cloud data warehouses.
Prerequisites
Advanced SQL proficiency, AWS experience (S3, EC2), fundamentals of data modeling and ETL.
Loading...
Please wait a moment





























