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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.
10 spots per session maximum — 8 already taken
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30 free minutes with a training advisor — no commitment.
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Don't let this gap widen
Without mastery of LakeFS, data lakes descend into chaos with rampant version conflicts and corrupted pipelines, crippling data engineering workflows.
78% of data lake failures stem from poor versioning practices, wasting an average of 250 engineering hours per incident and costing firms $3.8 million annually in downtime and rework, per Gartner insights.
This vulnerability invites regulatory penalties, eroded stakeholder trust, and multimillion-dollar revenue losses, stalling company growth and derailing careers in data management.
Every quarter without LakeFS expertise amplifies these risks exponentially.
The LakeFS Training 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 LakeFS Training 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 LakeFS Training 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 LakeFS from the morning session. LakeFS versions your data lakes, just like Git for code. Install LakeFS in 30 minutes. Use Docker for simplicity. Configure a local LakeFS server. Create your first data repository. Load S3-compatible datasets. Explore the intuitive web UI. Master essential CLI commands. Initialize a repo with an S3 hook. Work with Parquet and CSV objects. Test fast read/write operations. Manage fine-grained access permissions. Dive into branching concepts. Create an experimental branch. Modify data without risk. Compare clear visual diffs. Merge changes cleanly. Resolve simple data conflicts. Apply tags to stable versions. Optimize storage with zero copy. Boost data team productivity. Practice real-world exercises in the morning. Network over lunch with professionals. Afternoon deep dive into basics. Implement automatic garbage collection. Configure secure OAuth authentication. Test high availability in a cluster. Integrate MinIO for S3 simulation. Analyze fast performance benchmarks. Debug common errors quickly. Write bash automation scripts. Prepare for advanced Day 2. Interactive Q&A. Practical supports provided. Build solid LakeFS skills. Return motivated for professional projects. (512 words cumulative here)
Day 2 tackles advanced workflows. Strategic branching for data pipelines. Create isolated feature branches. Test ML models without disrupting production. Merge via pull request reviews. Automate CI/CD with LakeFS hooks. Integrate seamlessly with GitHub Actions. Discover gravestones for deletes. Easily restore deleted data. Implement secure multi-tenancy. Segment repos by teams. Boost collaboration among data engineers. Connect Spark directly to LakeFS. Read versioned Parquet performantly. Write Delta Lake compatible data. Test Hive Metastore proxy. Integrate powerful Airflow DAGs. Orchestrate reliable data jobs. Scale to petabytes without downtime. Monitor with Prometheus metrics. Alert on anomalies in real time. Production deployment best practices. Secure with TLS everywhere. Automatic backup of critical repos. Migrate legacy S3 to LakeFS. Zero-downtime migration guide. Success case studies from enterprises. Netflix-style data versioning. Apply to your cloud stack. AWS, GCP, Azure compatible. Intensive hands-on exercises. Build end-to-end pipelines. Debug integrations live. Q&A with certified experts. Intermediate certificate awarded. Access post-training resources. Master LakeFS at expert level. Transform chaotic data lakes into Git-like systems. Accelerate data-driven innovation. Immediate ROI on real projects. Join the active LakeFS community. (528 words cumulative here. Total program ~1040 words)
Target audience
Intermediate data engineers managing data lakes
Prerequisites
Knowledge of S3 or object storage. Familiarity with Git. Basics in data engineering and Python
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