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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 Apache Iceberg - Managing Scalable Data Lakes 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 Apache Iceberg - Managing Scalable Data Lakes 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 Apache Iceberg - Managing Scalable Data Lakes training is carried out through:
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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.
Quick installation of an Apache Iceberg environment with Spark and S3 storage, creation of your first scalable table containing millions of rows, intuitive data manipulation via standard SQL, practical exercises on time travel to restore past versions, exploration of schema evolution without downtime, performance optimization on concrete enterprise cases like massive log analysis, production of a turnkey deliverable: a functional data lake table ready for production, with personalized code review by the expert trainer.
Target audience
Data engineers, BI analysts, data architects wishing to develop skills on open source data lakes
Prerequisites
SQL basics, knowledge of Spark or Hadoop, Linux/Mac development environment
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