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Training Amazon Athena 2026 - Optimize Big Data S3 Queries

Ref: FTJ321
10 people max.
From $3,675 HT / per person
On-site on request · +$540 with certification exam
3 days
Remote

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Equans
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Ubisoft
Microsoft
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Equans
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Ubisoft
Microsoft
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ArcelorMittal
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Ubisoft
Microsoft
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Learning objectives

  • Master Amazon Athena 2026 for ultra-high-performance SQL queries on petabyte-scale S3 data in enterprise environments
  • Develop expert skills in partitioning optimization and federated queries through professional certifying training
  • Design collaborative data pipelines integrating Athena with QuickSight and collaborative tools like Confluence
  • Implement advanced cost-tuning techniques and ML inference for real-time analytics
  • Optimize data governance with Lake Formation in an expert business context
  • Deploy serverless automations via Lambda for team Athena workflows
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Our social commitment

A school kit donated to a child for every training

To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.

  • Backpack, notebooks and essential supplies
  • Distributed through our partner charities
  • Included, at no extra cost to you

The Learni story

Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.

Don't let this gap widen

Why this program matters

  • Without mastering Amazon Athena 2026, 70% of AWS companies waste 25% of their S3 query budget on non-partitioned scans, causing critical 10x latencies in real-time analytics.

  • This stalls data-driven decisions, resulting in estimated ROI losses of 150k€/an per Big Data team according to Gartner 2025.

  • Careers stagnate: expert data engineers risk obsolescence against certified competitors, and companies lose 40% collaborative productivity without optimized pipelines.

  • Invest now to turn risks into massive competitive advantages.

Kheireddin KADRI
Kheireddin KADRI

Learni trainer · Data & AI expert

73%productivity gap
×3cost of inaction

Program

Module 1Amazon Athena 2026: Expert Configuration and Advanced Partitioning (S3, Glue, Optimized Formats)

Discover the new features of Amazon Athena 2026 with expert setup on massive S3 buckets, configure Glue crawlers for dynamic schemas, implement hierarchical partitioning on petabyte datasets via practical exercises on real web logs, test Parquet/ORC formats for 75% compression, generate materialized views, analyze query metrics for initial performance gains, produce an initial optimization report as a concrete deliverable.

Module 2Amazon Athena 2026: Federated Queries and Collaborative Integrations (QuickSight, Confluence, Jira)

Dive into Amazon Athena 2026 federated queries to RDS, DynamoDB, and collaborative tools, integrate results with QuickSight for interactive dashboards, simulate enterprise use cases on cross-source sales, optimize complex joins with ML approximations, configure secure IAM workgroups, document pipelines in Confluence using Jira-Trello macros, develop Lambda scripts for automated triggers, validate performance on 10TB data, export insights as shareable artifacts.

Module 3Amazon Athena 2026: Governance, Cost-Optimization, and Advanced ML (Lake Formation, Serverless Workflows)

Master Amazon Athena 2026 governance via Lake Formation for tags and audits, apply cost-tuning with query throttling and result caching, integrate SageMaker ML for anomaly detection on queries, deploy Step Functions orchestrations with Jira tracking, test resilience on S3 failures, measure ROI via CloudWatch metrics, finalize capstone project on real client dataset, produce expert playbook and skills attestation for career boost.

Evaluation method

  • Daily technical quizzes on Athena 2026 queries and optimizations
  • Final collaborative project: end-to-end pipeline on 5TB S3 with report
  • 360° evaluation by AWS-certified trainer and peers on business cases

Learning method

  • Practical projects on real AWS datasets to anchor expert skills
  • Agile methods with daily retrospectives in small groups
  • Unlimited hands-on labs via dedicated AWS accounts and collaborative tools
  • 30-day post-training support with Slack Q&A and Confluence community

Methods, materials and delivery

The Training Amazon Athena 2026 - Optimize Big Data S3 Queries program is delivered onsite or remote (blended-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 - Optimize Big Data S3 Queries 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 - Optimize Big Data S3 Queries 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

Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.

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.

FAQ

Frequently asked questions

How much does the Training Amazon Athena 2026 - Optimize Big Data S3 Queries training cost?+
The price is $3,675 (USD) per participant. A detailed quote is sent within one business day.
How long is the Training Amazon Athena 2026 - Optimize Big Data S3 Queries training?+
The training lasts 3 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Advanced SQL mastery, experience with Amazon S3 and Glue, knowledge of AWS Lake Formation, basics in partitioning and columnar formats like Parquet
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
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