🎁Azure · AWS · Google — 1 free certification per learner, up to $400.Get the offer →
← Back

Training Amazon Athena - Optimizing Serverless Big Data Analyses

Ref: ICA987
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

Share in 2 clicks

EquansAptarArcelorMittalUbisoftINSEECLa PlateformeCESIEFREIEPSIINGETISMy Digital SchoolYnovEquansAptarArcelorMittalUbisoftINSEECLa PlateformeCESIEFREIEPSIINGETISMy Digital SchoolYnov

Learning objectives

  • Master advanced query optimizations in Amazon Athena to reduce S3 scan costs by 80%
  • Develop serverless ETL pipelines with Athena, Glue, and Lambda in a professional certifying context
  • Design scalable software architectures integrating Athena for petabyte-scale analyses
  • Implement design patterns for high-performance queries and Clean Code SQL in Athena
  • Optimize data governance with Athena Federated Query and external catalogs
  • Deploy real-time analytics solutions using Athena and Amazon QuickSight in enterprise settings

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 1Advanced Amazon Athena Fundamentals: Partitioning Optimization and Columnar Formats (Parquet, ORC)

Discover Athena's internal mechanisms for serverless queries on S3, configure dynamic Hive and Iceberg partitions, test practical exercises on real terabyte datasets, implement CSV to Parquet format conversions to accelerate scans by 70%, generate performance reports with EXPLAIN ANALYZE, and integrate Clean Code into your SQL scripts for optimal team maintenance in professional settings.

Module 2Amazon Athena and AWS Glue: Advanced ETL and Metadata Catalogs (External Tables)

Dive into Glue Crawlers for schema auto-detection, create serverless ETL jobs combining Athena and Spark on EMR, perform exercises on real data lakes with nested partitioning, optimize costs via Snappy and ZSTD compression, develop CTAS for materialized tables, apply Design Patterns like Factory for dynamic views, and validate production-ready deliverables in a certifying enterprise context.

Module 3Amazon Athena Performance Tuning: Federated Query and Materialized Views (Scalable Deliverables)

Master Athena Federated Query to query RDS, DynamoDB, and Elasticsearch without ETL, configure advanced connectors with fine-grained IAM roles, test cross-source scenarios on real Big Data cases, implement Materialized Views for automated caches, analyze CloudWatch metrics for query tuning, integrate modular Software Architecture with UNLOAD for S3 exports, and generate connected QuickSight dashboards for immediate business decisions.

Module 4Software Architecture with Amazon Athena: Advanced Patterns and Governance (Lake Formation Security)

Design serverless data mesh architectures centered on Athena, apply Design Patterns like Observer for query monitoring, secure with Lake Formation and row-level SQL security, practice fine-grained governance exercises with tags, optimize workgroups for isolated budgets, develop Clean Code scripts with Java/Scala UDFs, test high availability across multi-AZ regions, and produce a deployable architectural blueprint for certifying production.

Module 5Advanced Amazon Athena Use Cases: ML Integration and CI/CD Automation (Final Certifying Project)

Integrate Athena with SageMaker for SQL feature stores, automate pipelines via Step Functions and EventBridge, deploy CI/CD with CodePipeline for Athena notebooks, solve real challenges like sub-second queries on IoT streams, apply Clean Code and refactoring to legacy code, evaluate performance with TPC-DS benchmarks, finalize a capstone project deliverable with report and Qualiopi certificate, ready for professional enterprise skills.

Evaluation method

  • Daily interactive quizzes on prework and practical exercises
  • Final individualized project with peer review and expert feedback
  • Qualiopi certificate issued after skills validation QCM

Learning method

  • 70% hands-on practice on real AWS labs with production-like datasets
  • Pedagogical method alternating theory and exercises for maximum retention
  • Unlimited video replay support and post-training resources
  • Internal certification aligned with enterprise certifying skills

Methods, materials and delivery

The Training Amazon Athena - Optimizing Serverless Big Data Analyses 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 - Optimizing Serverless Big Data Analyses 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 - Optimizing Serverless Big Data Analyses 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.

Your professional training, anywhere

Let's build
your next
program.

30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.

Reply within 24 h · Industry-certified · Corporate funding
WhatsApp