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Training Data Lineage - Tracing Data Flows in the Enterprise

Ref: QUK563
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 certifying projects
  • Identify and map data flows in the enterprise environment
  • Use open-source tools to trace data lineage effectively
  • Develop skills in data governance and GDPR compliance
  • Design actionable data lineage visualizations for teams
  • Implement data lineage practices to optimize data pipelines

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.

Allan Busi
Allan Busi

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Fundamentals: Understanding Data Lineage and Its Business Implications (Concepts, Definitions, Enterprise Use Cases)

Immersive introduction to the essential principles of data lineage, exploration of key definitions and benefits for data governance, analysis of real enterprise cases like failing ETL pipelines, practical exercises to identify primary flows in a simple dataset, creation of a first manual traceability diagram using tools like Draw.io, establishment of a personal glossary to anchor professional skills from day one.

Module 2Basic Tools: Hands-On with Open-Source Solutions for Data Lineage (OpenLineage, SQLLineage)

Quick installation of environments like Apache Atlas and OpenLineage, configuration of a first connector to trace SQL metadata, guided exercises on PostgreSQL databases to visualize data transformations, simulation of ETL flows with Airflow and automatic data lineage capture, production of a basic traceability report, group discussions on integrations suited to your enterprise stack, immediate value through reusable production deliverables.

Module 3Modeling: Mapping Complex Data Lineage Flows (Metadata, Transformations)

Detailed construction of data lineage models for hybrid cloud/on-premise architectures, use of Marquez to map Spark and Kafka jobs, practical workshops on real-time metadata capture, resolution of real scenarios like post-aggregation traceability, generation of interactive diagrams with tools like Apache Superset, collective review of common enterprise errors, consolidation of a personal ongoing project for immediate application of acquired skills.

Module 4Practical Implementation: Integrating Data Lineage into Data Pipelines (ETL, ELT)

Hands-on implementation of data lineage in dbt and Airflow pipelines, automatic instrumentation of SQL transformations with SQLLineage, testing on large datasets to simulate production environments, interactive debugging of failing flows using lineage visualization, optimization of traceability performance to reduce cloud costs, production of a personalized data lineage monitoring dashboard, preparation for integration with tools like Collibra for enterprise-certified governance.

Module 5Best Practices: Governance and Compliance via Data Lineage (GDPR, Audit, Scalability)

Advanced exploration of standards like DCAM for professional data governance, workshops on GDPR audits via sensitive data traceability, case studies of major incidents avoided by robust data lineage, scalability exercises with Kubernetes for massive flows, development of a personalized enterprise action plan, final MCQ and presentation of the ongoing project, issuance of certificates and resources for continued skill development post-training.

Evaluation method

  • MCQ to validate learning outcomes at the end of the training
  • Continuous assessment through practical exercises on data lineage
  • Presentation of the ongoing traceability project to the trainer

Learning method

  • Courses led by an expert trainer active in data governance
  • Hands-on exercises based on real enterprise data cases
  • Progressive ongoing project for data lineage mapping
  • Comprehensive course materials and open-source resources provided to each participant

Methods, materials and delivery

The Training Data Lineage - Tracing Data Flows in the Enterprise 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 - Tracing Data Flows in the Enterprise 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 - Tracing Data Flows in the Enterprise 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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