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Training Amazon Redshift - Optimizing Massive Data Warehouses

Ref: RGJ494
10 people max.
4400€ HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$170/day onsite · +$500 with certification exam
4 journées
distanciel

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Learning objectives

  • Master the distributed architecture of Amazon Redshift to scale professional data warehouses
  • Develop skills in query optimization for ultra-fast performance in enterprise settings
  • Design advanced ETL pipelines integrating Redshift in hybrid cloud environments
  • Implement partitioning and compression strategies to reduce costs by at least 50%
  • Configure high availability and monitoring with CloudWatch for certifying reliability
  • Optimize governance of sensitive data via IAM and Redshift Spectrum for GDPR compliance
  • Deploy petabyte-scale workloads in production with a focus on professional certifying training

The Learni story

Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.

Don't let this gap widen

Why this program matters

  • Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.

  • Organizations that don't train their talents on key topics see their competitiveness drop.

  • Every quarter without training is a gap widening with competitors who invest.

  • The cost of inaction quickly exceeds that of well-targeted training.

Fouzi Benzidane
Fouzi Benzidane

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Amazon Redshift Architecture: RA3 clusters, concurrency scaling and Redshift Serverless (AWS tools, sizing methods)

Discover the advancements in Amazon Redshift architecture with a focus on RA3 nodes for infinite scalability, configure concurrency scaling to handle 100+ simultaneous queries without latency, explore Redshift Serverless for variable workloads, perform practical sizing exercises for clusters adapted to terabyte datasets, analyze performance metrics via AWS Console, produce an optimized cluster blueprint as a concrete deliverable from this immersive 7-hour day.

Module 2Amazon Redshift Query Optimization: explain plans, materialized views, advanced sortkeys (EXPLAIN tools, deep dive methods)

Dive into advanced Amazon Redshift query optimization by dissecting EXPLAIN plans to identify bottlenecks, implement materialized views to accelerate complex joins by 80%, configure hybrid distkeys and sortkeys on fact tables, test real workloads with 1 TB of simulated data, measure gains via custom WLM queues, generate quantified performance reports, end with a practical challenge delivering an optimized query that halves CPU costs.

Module 3ETL and Amazon Redshift Integration: pipelines with Glue, Spectrum and federated queries (AWS DMS tools, zero-ETL methods)

Build expert ETL pipelines for Amazon Redshift by integrating AWS Glue for serverless transformations, leverage Redshift Spectrum to query S3 without prior loading, demonstrate federated queries to Aurora and Elasticsearch, migrate legacy datasets via DMS with real-time validation, practice on enterprise cases with petabyte volumes, monitor jobs via Step Functions, produce a fully functional complete pipeline as a deliverable, covering 7 hours of intensive hands-on.

Module 4Amazon Redshift Security, Monitoring and Scaling: fine-grained IAM, AQUA, zero-ETL (CloudWatch tools, production-grade methods)

Strengthen Amazon Redshift security with zero-trust IAM roles and comprehensive audit logs, enable AQUA for 10x faster queries on S3, implement auto-scaling and pause/resume to optimize costs by 70%, configure CloudWatch alerts on CPU and storage, simulate disaster recovery scenarios with cross-region snapshots, test under real peak traffic conditions, finalize with a capstone project delivering a secure and scalable cluster ready for enterprise deployment and certification.

Evaluation method

  • Advanced quizzes on Redshift architecture and optimization (80% success required)
  • Real case studies with petabyte datasets and performance reports
  • Final project: deployment of an expert cluster with complete ETL pipeline

Learning method

  • 100% hands-on with real AWS labs and massive datasets
  • Fortune 500 company cases adapted to your challenges
  • 6-month post-training support via dedicated Slack community
  • Preparation for AWS Data Analytics Specialty certification

Methods, materials and delivery

The Training Amazon Redshift - Optimizing Massive Data Warehouses program is delivered onsite or remote (blended-learning, e-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.

The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.

Equipment required

For the smooth delivery of the Training Amazon Redshift - Optimizing Massive Data Warehouses program, the following equipment is required:

  • Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
  • Training environments installed on workstations or accessible online
  • Course materials, hands-on exercises and complementary resources
  • Post-training access to materials and educational resources

For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.

* contact us for remote delivery feasibility** ratio varies depending on the program

Skills assessment methods

Assessment of skills acquired during the Training Amazon Redshift - Optimizing Massive Data Warehouses program is performed through:

  • During training: case studies, hands-on labs and professional scenarios
  • End of training: self-assessment questionnaire and skills evaluation by the trainer
  • After training: completion certificate detailing acquired skills

Program accessibility

Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.

Enrollment terms and lead times

Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.

Verified reviews

What our learners

4.9 · +100 verified reviews
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« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
Our method

Training quality, guaranteed at every step

Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.

Step 1

Rigorous trainer selection

Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.

  • Triple validation: technical, pedagogical, sectoral.
  • Minimum rating 4.8/5 over the last 12 sessions.
Step 2

You meet the trainer beforehand

30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.

  • Live briefing on goals and team context.
  • Veto right — we swap the trainer for free if needed.
Step 3

Content tailored to your context

No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.

  • Hands-on cases drawn from your stack and projects.
  • Program co-written then validated by your team.
Step 4

Continuous quality follow-up

Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.

  • NPS, knowledge quizzes and skills self-assessment.
  • Satisfaction guarantee: fully satisfied or free rework.

A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.

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