Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the Training Data Catalog - Mastering Data Governance in the Enterprise training are: Experience in data governance, mastery of ETL, advanced SQL, and data mesh principles. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training Data Catalog - Mastering Data Governance in the Enterprise training is available in distanciel. The format can be adapted to your needs (inter, intra, custom).

Training Data Catalog - Mastering Data Governance… | Learni

The story of Learni

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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Methods, approaches, and teaching resources

The Training Data Catalog - Mastering Data Governance in the Enterprise 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.

Teaching resources provided

To ensure the quality of the Training Data Catalog - Mastering Data Governance in the Enterprise training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and 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.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the Training Data Catalog - Mastering Data Governance in the Enterprise training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

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.

Training objectives

Master data catalog architectures for scalable enterprise environments

Implement automated and interconnected data catalogs in the enterprise

Develop skills in lineage and data quality via certified data catalogs

Design professional data governance policies compliant with GDPR

Optimize data search and collaboration with advanced data catalog tools

Deploy data catalogs in production to boost the business value of data

Training program

Module 1Data Catalog Architecture: Modeling Business and Technical Metadata (Collibra, DataHub, Alation)

Dive into the design of robust data catalog architectures tailored to large enterprise volumes, install and configure Collibra or DataHub in your environment, model business schemas with practical exercises on real datasets, generate initial technical and business metadata assets, produce a personalized architecture diagram validated through collective code review to anchor your professional skills from the first day.

Module 2Data Catalog Implementation: Automated Integration of Sources (Kafka, APIs, ETL Crawlers)

Take action by connecting data catalogs to live pipelines, configure crawlers to scan SQL NoSQL databases and data lakes, integrate Kafka for real-time metadata streaming with tools like Apache Atlas, perform exercises on concrete enterprise cases such as legacy migrations, generate automated integration reports, test resilience with load simulations to deliver a functional prototype ready for governance.

Module 3Data Catalog Governance: Lineage and Data Quality (ML Profiling, Business Rules)

Master the core of governance by implementing complete lineage via data catalogs, apply machine learning to profile data quality with integrated Great Expectations, define custom business rules in Collibra, analyze real data incident cases to correct biases, generate automated compliance dashboards, collaborate in pairs on the red thread project to produce an actionable governance plan that transforms your data into a strategic asset.

Module 4Data Catalog Security: GDPR Compliance and Access Control (Advanced RBAC, ABAC)

Strengthen the security of your data catalogs with fine-grained RBAC and ABAC policies, configure native GDPR audits in Alation or DataHub, simulate breaches to test resilience, integrate SSO and metadata encryption, develop custom scripts for threat monitoring, apply to your red thread project with critical enterprise scenarios, produce a certified security audit and compliance playbook that protects your enterprise from costly legal risks.

Module 5Data Catalog Deployment: Monitoring and Scaling in Production (Kubernetes, AWS/GCP Cloud)

Finalize by deploying your data catalog in production on Kubernetes or hybrid cloud, configure monitoring with Prometheus and Grafana for key metrics, optimize horizontal scaling for data spikes, migrate a real enterprise use case to data mesh, perform stress tests and performance tuning, conclude with a red thread project defense featuring live deployment, leave with certifiable skills ready to impact your organization's data ROI.