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Training Amazon Athena 2026 - Efficiently Analyze Massive S3 Data

Ref: NRE804
10 people max.
5500€ 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
5 journées
distanciel

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Learning objectives

  • Master Amazon Athena 2026 to efficiently query petabytes of data on S3 in a professional certifying training
  • Develop advanced skills in SQL query optimization for environment- and energy-focused companies
  • Design scalable analysis pipelines integrating Athena 2026 into sustainable data lakes
  • Implement real-world cases of renewable energy data analysis and energy consumption
  • Optimize Athena costs and performance for certifying RSE projects
  • Deploy interactive dashboards based on Athena 2026 for environmental reporting
  • Acquire transferable professional skills in multidisciplinary teams

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.

Allan Busi
Allan Busi

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Amazon Athena 2026 Fundamentals: Configuration and First SQL Queries on S3 (AWS Console, Glue Catalog Tools)

Discover the basics of Amazon Athena 2026 by configuring a Glue catalog, launching SQL queries on large S3 datasets simulating environmental data, practice dynamic schema exploration, integrate partitions to accelerate scans, perform hands-on exercises on energy IoT logs, produce your first exportable analytical reports in CSV, benefit from expert feedback to consolidate your skills in certifying training.

Module 2Advanced Amazon Athena 2026 Queries: Complex Joins and Window Functions (UNNEST, LAG/LEAD Tools)

Dive into multi-table joins on massive renewable sensor datasets, master analytical functions like ROW_NUMBER and NTILE for energy ranking, optimize with materialized views, apply to real CO2 monitoring cases, generate precise temporal aggregations, test correlated subqueries, export results to QuickSight for visualizations, strengthen practical skills in teams for sustainable corporate projects.

Module 3Amazon Athena 2026 Performance Optimization: Partitioning and Columnar Storage (Parquet, Snappy Compression Tools)

Learn to partition S3 datasets by date and region for ultra-fast scans on weather-energy data, convert formats to Parquet via Glue ETL, measure performance gains up to 10x, analyze query plans with EXPLAIN, implement bucketing for efficient joins, simulate production workloads on virtual terabytes, produce personalized benchmarks, integrate caching for reduced costs, refine your optimization expertise for certifying RSE.

Module 4Amazon Athena 2026 Integrations: Glue ETL and SageMaker ML (Crawlers, Workgroups Tools)

Integrate Athena 2026 with AWS Glue for automated crawlers on environmental data lakes, orchestrate serverless ETL pipelines, combine with SageMaker for energy consumption predictions, segment workgroups by costs and security, apply fine-grained IAM policies, test federated queries to RDS, generate ML insights on solar time series, deploy end-to-end in practical exercises, consolidate hybrid skills for sustainable corporate innovation.

Module 5Advanced Amazon Athena 2026 Use Cases: Energy Dashboards and Compliance (QuickSight, Lake Formation Tools)

Develop interactive QuickSight dashboards powered by Athena on renewable data, analyze ESG compliance via auditable queries, implement Lake Formation for data governance, simulate real-time emission alerts, optimize costs to the euro, produce certifying project portfolios, review security best practices, prepare for production deployment, end with expert Q&A and post-training action plan for immediate environmental ROI.

Evaluation method

  • Daily interactive quizzes on Athena 2026 queries
  • Real environmental case studies with expert feedback
  • Final project: complete energy data pipeline certifying

Learning method

  • Hands-on methods with real massive S3 datasets
  • Pair exercises for corporate collaboration
  • AWS tutorial videos and scalable simulations
  • 24/7 post-training support via alumni platform

Methods, materials and delivery

The Training Amazon Athena 2026 - Efficiently Analyze Massive S3 Data 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 Athena 2026 - Efficiently Analyze Massive S3 Data 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 Athena 2026 - Efficiently Analyze Massive S3 Data 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
★★★★★

« 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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