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 Enterprise Data Governance training are: Advanced mastery of SQL, Python for data processing, Hadoop/Spark, ETL, and data lakes. A preliminary interview validates your eligibility.

Is the training available in person?

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

Training Data Catalog - Mastering Enterprise Dat... | 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 Enterprise Data Governance 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 Enterprise Data Governance 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 Enterprise Data Governance 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 professional data governance

Implement scalable data catalog solutions in the enterprise

Optimize the discovery and quality of data assets

Integrate data catalog into complex, certified data pipelines

Develop expertise in metadata and lineage for advanced projects

Deploy and monitor data catalog in secure production environments

Training program

Module 1Data Catalog Architecture: Designing Expert Systems (Collibra, Apache Atlas, Metadata)

Dive into the advanced foundations of data catalogs, install Collibra and Apache Atlas in a simulated cloud environment, model metadata schemas for enterprise data lakes, perform practical exercises on automatic cataloging of SQL/NoSQL datasets, generate initial data lineage reports, apply real client cases of breaking down silos, and produce a personalized architectural blueprint for export.

Module 2Data Catalog Implementation: Integrating Governance and Pipelines (ETL, Kafka, Data Mesh)

Integrate data catalog into ETL flows using Apache Airflow and Kafka, configure automated governance rules in Collibra for GDPR compliance, practice metadata enrichment with advanced Python scripts, test interconnections with data warehouses like Snowflake, analyze enterprise use cases in data mesh, develop custom connectors for heterogeneous sources, validate via simulated data quality audits, and obtain production-ready deliverables.

Module 3Data Catalog Optimization: Scaling and Monitoring in Production (Metrics, AI, Security)

Optimize data catalog performance with AI for automatic tagging and semantic search, implement advanced monitoring using Prometheus/Grafana on Kubernetes clusters, secure access with OAuth and RBAC, simulate scalability scenarios on terabytes of data, practice troubleshooting real incidents such as lineage losses, deploy CI/CD automations for catalog updates, evaluate ROI through business KPIs, and finalize the red thread project with an expert report and enterprise rollout plan.