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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 Polars - Processing Massive Data at Ultra-High Speed 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 Polars - Processing Massive Data at Ultra-High Speed 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 Polars - Processing Massive Data at Ultra-High Speed 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.
Installation of an expert Polars environment with Rust and Python bindings. Creating and manipulating giant DataFrames on real enterprise datasets. Mastering Polars expressions for complex filtering and vectorized transformations. Practical exercises on cleaning massive data. Generating intermediate analyzable reports. Immediate enhancement of your high-speed data processing skills.
Deep dive into lazy mode for highly efficient deferred executions. Designing complete ETL pipelines on terabyte-scale volumes. Leveraging the Polars query planner to anticipate optimizations. Exercises refactoring slow Pandas scripts to Polars for 10x speed gains. Scalability testing in memory and disk. Deliverables ready for enterprise CI/CD integration.
Mastering multi-table joins on disparate datasets with IPC/Arrow formats. Implementing dynamic groupbys and custom aggregations for advanced analytics. Exploring window functions for rankings and temporal trends. Real enterprise cases such as fraud detection or cohort analysis. Collaborative exercises with code review. Producing performant materialized views for BI tools.
Integrating Polars with big data stacks like Spark or Kafka for expert hybrid solutions. Containerization with Docker and Kubernetes orchestration. Implementing performance monitoring and advanced debugging. Final main project on a real client dataset with ultimate optimization. Simulated production deployment. Complete documentation and rollout plan for your professional teams.
Target audience
Data engineers, data scientists, and BI analysts seeking to upskill in scalable data processing
Prerequisites
Proficiency in Rust or advanced Python, experience with Pandas/PyArrow, production ETL pipelines
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