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Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.
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The Training Amazon Athena - Analyze S3 Data with SQL training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.
The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.
To ensure the quality of the Training Amazon Athena - Analyze S3 Data with SQL training, Learni provides the following teaching resources:
For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.
The assessment of skills acquired during the Training Amazon Athena - Analyze S3 Data with SQL training is carried out through:
Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Discovery of Amazon Athena. Serverless advantages for S3. AWS environment setup. Creation of the first S3 bucket. Athena console configuration. First simple SQL queries. Hands-on practice with public datasets. Exercises on real business cases. Introduction to the red thread project: analysis of a fictional data lake. Management of Parquet and ORC formats. Basic partitioning. Performance tests. Pedagogical support provided. Interactive Q&A. Duration: 7 hours.
Complex SQL queries with JOINs and aggregations. Use of Athena window functions. Optimization of S3 scan costs. Dynamic partitioning. Data compression. Workgroups for isolation. Integration with Glue Catalog. Professional exercises on web logs. Hands-on red thread project: analytical queries. Performance benchmarks. Management of common errors. Enterprise BI use cases. Serverless best practices. Live demonstrations. Discussion of business needs. Duration: 7 hours.
Athena connections with QuickSight and Jupyter. Automation via AWS Lambda. ETL integration with Glue. IAM security and encryption. Monitoring with CloudWatch. Export results to S3. Completion of the red thread project: analytical dashboard. Practical evaluation. Simulated production deployment. Scalability best practices. Real enterprise data lake cases. Review quiz. Project presentation. Competency certificates issued. Advanced Athena perspectives. Post-training support. Duration: 7 hours.
Target audience
Data analysts, data engineers, BI managers wishing to upskill on AWS
Prerequisites
Basic knowledge of SQL and familiarity with AWS S3
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