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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 Talend - Automating Professional ETL Pipelines 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 Talend - Automating Professional ETL Pipelines 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 Talend - Automating Professional ETL Pipelines 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.
Dive into Talend's conditional and iterative routings to orchestrate complex flows, manipulate the tMap component for powerful transformations on large datasets, perform joins and aggregations with tAggregateRow and tJoin on real enterprise cases, build your first intermediate ETL job with data validation, hands-on exercises on customer data samples to deliver a functional and documented mapping.
Explore parallelism with tParallelize to accelerate ETL processing, integrate Talend with Spark for scalable Big Data jobs, manage batch flows on massive volumes via Hadoop connectors, test on real enterprise datasets with load peak simulations, optimize performance through partitioning and caching, produce a production-ready pipeline prototype with detailed logs and performance metrics.
Configure advanced Talend connectors for SQL Server, PostgreSQL, and NoSQL like MongoDB, integrate REST/JSON APIs with tRESTClient and dynamic parsing, connect to cloud storage such as AWS S3 or Azure Blob for hybrid ETL, apply to concrete enterprise data migration cases, handle OAuth authentication and asynchronous flows, finalize a multi-source integration job with end-to-end tests and error reporting.
Deploy Talend jobs via Talend Administration Center for enterprise environments, schedule executions with advanced triggers and calendars, implement real-time monitoring with alerts and dashboards, optimize jobs for high availability through memory and JVM tuning, simulate cluster deployments with basic CI/CD, deliver a complete production rollout plan including backups, rollbacks, and KPIs for immediate ROI.
Target audience
Data engineers, BI analysts, corporate data managers seeking to advance their ETL skills
Prerequisites
Proficiency in basic Talend Open Studio, advanced SQL, and basic Java knowledge
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