Training Amazon Athena - Analyze Petabytes of S3 Data with Serverless SQL

Very demanding course · Expertise required

$7,875

  • 5 days
  • Onsite
  • 10 people max.
Ref: SVU300
10 people max.
$7,875
In-company rate: from $14,175 for the whole teamExpertise rate: $1,575 per day, reflecting the difficulty level
On-site and certification exam on quote
5 days
Onsite

Don't let this gap widen

Why this program matters

  • Without mastering Amazon Athena, teams waste 50% of their time on unoptimized S3 scans, generating 10x unnecessary query costs (average 5k€/month per TB analyzed).

  • 68% of Big Data analytics incidents stem from faulty partitioning, blocking critical business insights.

  • In 2024, 75% of data engineers who are not Athena experts are excluded from native cloud roles.

  • Every quarter without serverless skills widens the competitive gap, risking 20-30% revenue lost on delayed decisions.

Nawfel ABED, Learni trainer · Cybersecurity expert
Nawfel ABED

Learni trainer · Cybersecurity expert

73%productivity gap
×3cost of inaction
Flag of the United StatesBuilt for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone

Trusted by — schools, companies and industrial groups

41,116 programs · 25 countries

  • Aptar
  • ArcelorMittal
  • Equans
  • EDF
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  • Microsoft
  • Atos

Every program built with a dedicated engineer

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Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft, Microsoft and Atos.

Amazon Athena training objectives

  • Master Amazon Athena for serverless queries on massive enterprise data
  • Optimize Big Data analysis performance and costs professionally
  • Implement partitioning and compression for scalable, certifiable performance
  • Develop federated queries with advanced AWS integrations
  • Design secure, monitored analytics pipelines
  • Deploy Athena skills in real certifiable projects

Program

Amazon Athena curriculum: 5 modules over 5 days

Module 1 : Amazon Athena: Serverless Architecture and Advanced Query Optimization (S3, Glue, Workgroups)

Dive into Amazon Athena's serverless architecture, configure custom workgroups for isolation and monitoring, migrate S3 datasets to optimized Parquet/ORC formats via AWS Glue, execute complex queries on petabytes with massive joins, measure performance impacts via CloudWatch, produce initial cost reports and optimization plans for immediate professional projects.

Module 2 : Amazon Athena: Dynamic Partitioning and Compression (Hive, Iceberg, Query Costs)

Master Hive partitioning and Iceberg tables to accelerate S3 scans by up to 90%, apply Snappy/Zstandard compression on real datasets, test queries on massive application logs, analyze EXPLAIN metrics for refactoring, integrate results into QuickSight dashboards, generate deliverables like automated partitioning scripts, demonstrating enterprise ROI by end of day.

Module 3 : Amazon Athena: Federated Queries and Integrations (RDS, DynamoDB, Lambda)

Develop federated Athena queries to RDS, DynamoDB, and Elasticsearch, configure secure cross-account IAM data sources, execute hybrid analyses on structured/unstructured data, integrate custom UDFs via Lambda for advanced transformations, simulate real e-commerce cases with millions of events, produce optimized materialized views, enhancing certifiable serverless skills.

Module 4 : Amazon Athena: Security, Monitoring, and ML Integration (Lake Formation, SageMaker)

Secure Athena with Lake Formation and fine-grained columnar access, implement KMS encryption at-rest/in-transit, monitor queries via Athena Engine metrics and CloudTrail, integrate SageMaker ML features for anomaly detection on datasets, process real-time IoT logs, develop automated cost alerts, deliver complete data governance for enterprise GDPR compliance.

Module 5 : Amazon Athena: Advanced Use Cases and Production Deployment (CI/CD, Step Functions Orchestration)

Design end-to-end pipelines with Athena, Step Functions, and EventBridge for serverless ETL, automate CI/CD via CodePipeline on parameterized queries, scale for Black Friday volumes, benchmark costs vs EMR/Redshift, migrate legacy BI to zero-infra Athena, finalize end-to-end project with executive report, deploy expert skills for immediate digital transformation.

How Amazon Athena skills are assessed

  • Expert multiple-choice quiz on optimized queries and Athena costs
  • Practical evaluation via end-to-end Big Data project
  • Architecture defense presentation to certified trainer

How the Amazon Athena course is taught

  • Training by AWS expert with production experience
  • Hands-on exercises on real enterprise S3 datasets
  • Scalable end-to-end project over 5 days
  • Comprehensive pedagogical support and AWS resources

Amazon Athena training: access and practical arrangements

The Training Amazon Athena - Analyze Petabytes of S3 Data with Serverless SQL 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 - Analyze Petabytes of S3 Data with Serverless SQL 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 - Analyze Petabytes of S3 Data with Serverless SQL 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.

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.

Our method

How Learni guarantees the quality of your Amazon Athena training

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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Our social commitment

A school kit donated to a child for every training booked

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
Enroll and offer a kit
FAQ

Amazon Athena: frequently asked questions

Which tools are used in Amazon Athena training?+
Hands-on work runs on s3, glue, workgroups, hive, iceberg and query Costs. Those tools come from the Amazon Athena program itself, delivered on site over 5 days, so participants practise on the stack they will use at work.
What can participants do after Amazon Athena training?+
They can master Amazon Athena for serverless queries on massive enterprise data, optimize Big Data analysis performance and costs professionally and implement partitioning and compression for scalable, certifiable performance. Those are the stated objectives of the Amazon Athena program at Expert level, checked by the end-of-session assessment.
What does the Amazon Athena program cover, day by day?+
Day 1: Amazon Athena: Serverless Architecture and Advanced Query Optimization (S3, Glue, Workgroups). Day 2: Amazon Athena: Dynamic Partitioning and Compression (Hive, Iceberg, Query Costs). Day 3: Amazon Athena: Federated Queries and Integrations (RDS, DynamoDB, Lambda). Day 4: Amazon Athena: Security, Monitoring, and ML Integration (Lake Formation, SageMaker). Day 5: Amazon Athena: Advanced Use Cases and Production Deployment (CI/CD, Step Functions Orchestration). The Amazon Athena program runs over 5 days, delivered on site.
How is Amazon Athena training assessed?+
Assessment relies on expert multiple-choice quiz on optimized queries and Athena costs, practical evaluation via end-to-end Big Data project and architecture defense presentation to certified trainer. Learni issues a completion certificate together with the individual assessment report at the end of the Amazon Athena program, which an L&D team can file as evidence.
How much does Amazon Athena training cost per participant?+
Amazon Athena training costs $7,875 per participant. For an in-company team, the flat rate starts at $14,175 for the whole group, up to 8 people. The detailed quote, sent within one business day, adjusts the amount to the format and how far the syllabus is tailored to your team.
How long does Amazon Athena training take?+
5 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.
Who pays for Amazon Athena training?+
Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
What do participants need to know before Amazon Athena training?+
Advanced SQL mastery, AWS S3, Parquet/ORC formats, ETL basics.
Is a certificate issued after Amazon Athena training?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.
Does Learni provide the equipment for Amazon Athena training?+
No. A computer and a stable internet connection are required for each participant. Learni provides the learning platform, the trainer and all course materials.
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