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Training Data Lineage - Mastering Data Traceability

Ref: UGZ108
10 people max.
4375€ HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$170/day onsite · +$500 with certification exam
5 journées
distanciel

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Learning objectives

  • Master the fundamentals of data lineage for professional certification projects
  • Develop skills in tracing enterprise data flows
  • Design metadata to track data origins and transformations
  • Implement open source data lineage tools in a data environment
  • Optimize data governance through precise lineage mapping
  • Evaluate the business impact of data lineage on GDPR compliance and data quality

The Learni story

Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.

Don't let this gap widen

Why this program matters

  • Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.

  • Organizations that don't train their talents on key topics see their competitiveness drop.

  • Every quarter without training is a gap widening with competitors who invest.

  • The cost of inaction quickly exceeds that of well-targeted training.

Fouzi Benzidane
Fouzi Benzidane

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Data Lineage Fundamentals: Concepts and Business Importance (Metadata, Data Flows)

Dive into the basics of data lineage by exploring its definition, its crucial role in data governance and the risks of lacking traceability. Set up a test environment with Python and Pandas to visualize simple flows. Perform your first exercises on extracting metadata from SQL databases. Analyze real cases of companies affected by untraced data losses. Produce a first manual lineage map that will serve as the basis for the capstone project.

Module 2Data Lineage Modeling: Mapping Flows and Transformations (Diagrams, Visual Tools)

Learn to model data lineages by identifying sources, ETL processes and destinations. Use Mermaid and Draw.io to create interactive diagrams of complex data flows. Practice on real datasets from ETL pipelines like Apache Airflow. Integrate SQL and Python transformations into your mapping. Collaborate in pairs to audit a fictional company pipeline. Validate your models with consistency checks and export them in shareable formats for effective data governance.

Module 3Data Lineage Tools: Implementing OpenLineage and Marquez (Connectors, Automatic Capture)

Discover leading open source tools like OpenLineage and Marquez to automate lineage capture. Configure connectors with dbt and Spark on a local cluster. Generate automatic traces during real ETL executions. Explore the Marquez web interface to query and visualize data dependency graphs. Apply these tools to your capstone project by instrumenting a simple pipeline. Test resilience to schema changes and document configurations for production deployment.

Module 4Data Lineage Governance: GDPR Compliance and Data Quality (Audits, Monitoring)

Integrate data lineage into enterprise governance by aligning with GDPR and ISO 8000. Conduct compliance audits on sensitive flows with PII masking. Set up basic monitoring via Prometheus and Grafana to alert on lineage breaks. Analyze impact on data quality via freshness and completeness metrics. Adapt your capstone project to a real business scenario like financial reporting. Produce an audit report with actionable recommendations for data teams.

Module 5Data Lineage Project: Practical Cases and Deployment (Scalability, CI/CD Integration)

Finalize your capstone project by deploying a complete pipeline with automated data lineage on Docker. Integrate it into a CI/CD workflow via GitHub Actions for secure production deployment. Simulate data incident scenarios to test traceability. Present your solution to the group with a live demo and Q&A. Evaluate scalable performance on large volumes. Receive personalized feedback from the expert trainer and leave with a certification-ready portfolio for your professional CV.

Evaluation method

  • Multiple-choice quiz to validate learning outcomes at the end of the training on data lineage concepts
  • Continuous assessment through practical exercises and flow modeling
  • Presentation of the capstone project with implemented mapping and tools

Learning method

  • Courses led by an active expert data lineage trainer
  • Practical exercises on real business cases and open data datasets
  • Progressive capstone project throughout the certification training
  • Complete course materials provided to each participant with code examples

Methods, materials and delivery

The Training Data Lineage - Mastering Data Traceability program is delivered onsite or remote (blended-learning, e-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.

The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.

Equipment required

For the smooth delivery of the Training Data Lineage - Mastering Data Traceability program, the following equipment is required:

  • Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
  • Training environments installed on workstations or accessible online
  • Course materials, hands-on exercises and complementary resources
  • Post-training access to materials and educational resources

For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.

* contact us for remote delivery feasibility** ratio varies depending on the program

Skills assessment methods

Assessment of skills acquired during the Training Data Lineage - Mastering Data Traceability program is performed through:

  • During training: case studies, hands-on labs and professional scenarios
  • End of training: self-assessment questionnaire and skills evaluation by the trainer
  • After training: completion certificate detailing acquired skills

Program accessibility

Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.

Enrollment terms and lead times

Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.

Verified reviews

What our learners

4.9 · +100 verified reviews
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
Our method

Training quality, guaranteed at every step

Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.

Step 1

Rigorous trainer selection

Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.

  • Triple validation: technical, pedagogical, sectoral.
  • Minimum rating 4.8/5 over the last 12 sessions.
Step 2

You meet the trainer beforehand

30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.

  • Live briefing on goals and team context.
  • Veto right — we swap the trainer for free if needed.
Step 3

Content tailored to your context

No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.

  • Hands-on cases drawn from your stack and projects.
  • Program co-written then validated by your team.
Step 4

Continuous quality follow-up

Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.

  • NPS, knowledge quizzes and skills self-assessment.
  • Satisfaction guarantee: fully satisfied or free rework.

A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.

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