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.
Learning objectives
- Master complex Amazon Athena queries for professional analyses
- Optimize performance on petabytes of S3 data in enterprise settings
- Implement advanced partitioning and bucketing in certified pipelines
- Integrate Amazon Athena with AWS Glue and Lake Formation for expert skills
- Develop materialized views and CTAS for professional scalability
- Configure fine-grained security and monitoring for secure deployments
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.
Program
Module 1Advanced Amazon Athena Configuration: S3 and Glue Optimization (Partitioning, Columnar Formats)
Setting up an expert Amazon Athena environment connected to S3, configuring Glue crawlers for automated schemas, implementing dynamic partitioning on massive datasets, testing optimized SQL queries on terabytes of data, practical exercises on Hive bucketing and ORC/Parquet, producing a first scalable pipeline with enriched metadata, immediate trainer feedback for instant performance gains.
Module 2Expert Amazon Athena Queries: Complex Joins and Massive Aggregations (UNNEST, CTEs)
Exploring advanced functions like UNNEST for nested JSON arrays, writing recursive CTEs on petabyte logs, optimizing joins on multiple partitions with broadcast, real-world e-commerce real-time analysis cases, exercises on window functions for rankings and percentiles, generating interactive reports via Athena Federated Query, validation by benchmarks showing up to 80% reduction in execution time.
Module 3Amazon Athena Integrations: Lake Formation and AWS Services (ML, QuickSight, EMR)
Connecting Amazon Athena to Lake Formation for fine-grained dataset governance, integration with SageMaker for ML preparatory queries on S3, federation with RDS and Redshift for hybrid queries, deploying live QuickSight dashboards on Athena results, practical workshops on EMR for preprocessing before analysis, creating end-to-end pipelines with Lambda triggers, deliverables including reusable scripts for production data teams.
Module 4Amazon Athena Optimization and Security: Monitoring, Costs, and Enterprise Deployments
Cost analysis via Query Execution Analyzer and Savings Plans, tuning workgroups for concurrency and timeouts, implementing granular IAM policies and Lake Formation permissions, CloudWatch monitoring with custom alarms on S3 scans, exercises on advanced compression and columnar stats, simulating load spikes for scalability, finalizing a certifying continuous project with full audit and quantified optimization plan.
Evaluation method
- Expert quiz on Athena queries and optimizations
- Project-based evaluation on a massive dataset
- Code audit and presentation to certified trainer
Learning method
- Sessions led by an active AWS expert
- Hands-on exercises on dedicated AWS clusters
- Scalable continuous project from day 1
- Digital materials and video replays provided
Methods, materials and delivery
The Training Amazon Athena - Analyze Petabytes of Data in Seconds 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 - Analyze Petabytes of Data in Seconds 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 Data in Seconds 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
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
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.
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.
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.
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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