Loading...
Please wait a moment
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 — 9 already taken
Which format do you prefer?
30 free minutes with a training advisor — no commitment.
Loading available slots...
Artificial Intelligence training in Cardiff in May 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Discover why customer journey mapping training is essential for marketing teams in March 2026. Learn step-by-step guides, tools, trends, and strategies to boost customer experience and revenue.
Discover the best sports management training options starting in March 2026, essential skills, trends, and preparation tips for aspiring managers entering the dynamic sports industry.
Artificial Intelligence training in San Francisco in October 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
The Training Data Lakehouse - Mastering Unified Data Architectures 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 Training Data Lakehouse - Mastering Unified Data Architectures 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 Training Data Lakehouse - Mastering Unified Data Architectures 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.
Introduction to Data Lakehouse. Differences with data lake and warehouse. ACID principles and schema-on-read/write. Installation of Databricks or Delta Lake environment. Hands-on practice on concrete business cases. Creation of red thread project: simulation of data pipeline. Exercises on basic governance. Vocabulary: open formats, metadata management.
Batch and streaming ingestion strategies. Tools: Apache Kafka, Spark. Storage in Parquet, Iceberg. Hands-on: ingestion of massive datasets. Professional cases: e-commerce data flows. Partitioning optimization. Red thread project: scalable ingestion pipeline. Exercises on open formats. Integration of metadata layers.
Query engines: Spark SQL, Trino. Advanced ETL/ELT transformations. Hands-on: Spark jobs on lakehouse. Concrete cases: real-time analytics. Stateful tables management. Red thread project: data cleaning transformations. Professional exercises on ML features. Compute cost optimization.
Unity Catalog for governance. Security: RBAC, encryption. Audit trails and lineage. Hands-on: data access policies. Enterprise cases: GDPR compliance. Red thread project: full securing. Exercises on tagging and versioning. Data CI/CD integration.
Cloud deployment: AWS, Azure, GCP. Monitoring and performance tuning. Hands-on: auto-scaling. Real cases: 50% cost optimization. Red thread project: production deployment. Final evaluation. Enterprise best practices. Advanced skills roadmap.
Target audience
Data engineers, data architects and Big Data analysts wishing to advance their skills on lakehouses
Prerequisites
Knowledge of SQL, Python and data lakes or data warehouses
Loading...
Please wait a moment





























