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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 Data Lineage - Mastering Data Traceability 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 Data Lineage - Mastering Data Traceability 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 Data Lineage - Mastering Data Traceability 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.
Discover the basics of data lineage. Understand data traceability. Identify source and destination flows. Study dependencies between datasets. Hands-on practice with simple exercises. Introduction to the red thread project. Real cases in data governance. Professional vocabulary: lineage, metadata, provenance. Examples of companies using data lineage for GDPR compliance. Analysis of basic ETL pipelines. Practical work on manual diagrams. Discussion on business challenges. Environment preparation for open-source tool. Approximately 120 words for rapid immersion.
Install open-source tools for data lineage. Explore Apache Atlas and OpenLineage. Set up a test environment. Trace simple SQL flows. Visualize data lineages. Professional exercises on real datasets. Integrate into the red thread project. Study metadata management. Real cases: ETL traceability in the enterprise. Manage data transformations. Practice on Jupyter notebooks. Identify common errors. Optimize queries for lineage. Debates on tool selection. Basic implementation for data quality. 110 words for immediate practical skills.
Apply data lineage to concrete ETL pipelines. Analyze impacts of data changes. Use graphical visualizations. Exercises on data warehouses. Integrate APIs for automation. Advance the red thread project with full traceability. Enterprise case: data lineage audit. Detect anomalies and hidden dependencies. Pair work on professional scenarios. Tools: dbt and Airflow basics. Measure data quality via lineage. Discussion on governance and compliance. Export lineage reports. Performance optimization. 105 words focused on actionable business skills.
Finalize the complete red thread project. Present your data lineage implementation. Evaluate business impacts. Deploy a traceable solution in a mock production environment. Code review and best practices. Advanced beginner exercises: lineage monitoring. Integrate data catalog. Real compliance cases in BI. Project presentation to the trainer. Knowledge validation quiz. Perspectives on tool evolutions. Post-training action plan for the enterprise. Additional resources. Closure with competency certificates. 100 words for lasting professional expertise.
Target audience
Data analysts, data engineers, data governance managers, and data project managers seeking to build skills in traceability
Prerequisites
Basic knowledge of SQL databases and familiarity with ETL or data pipelines
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