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 Delta Lake - Reliable and ACID Data Lakes in 3 Days training are: Basics in Apache Spark, Python or Scala, SQL fundamentals.. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training Delta Lake - Reliable and ACID Data Lakes in 3 Days training is available in remote. The format can be adapted to your needs (inter, intra, custom).

Training Delta Lake - Reliable and ACID Data Lak... | 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 Delta Lake - Reliable and ACID Data Lakes in 3 Days 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 Delta Lake - Reliable and ACID Data Lakes in 3 Days 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 Delta Lake - Reliable and ACID Data Lakes in 3 Days 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

Understand the foundational principles of Delta Lake for reliable data lakes.

Install and configure Delta Lake with Spark in a local environment.

Create and manipulate Delta tables with ACID operations.

Manage versions, time travel, and schema evolution.

Optimize performance via Z-Order and vacuum.

Integrate Delta Lake into real Spark pipelines.

Training program

Module 1Introduction to Delta Lake: Installation and First Tables (Spark, Python)

Dive into Delta Lake from the morning with a quick Spark and Delta installation, test your first Python scripts to create Delta tables, manipulate Parquet data via practical exercises, explore the _delta_log metadata live, produce your first deliverable: a functional Delta table with upsert, and end with a concrete basic data lake case, motivating for the rest.

Module 2ACID Transactions and Advanced Management: MERGE, Time Travel (Spark SQL)

Master ACID transactions by simulating Spark failures to see resilience, practice MERGE on large datasets, time travel to restore versions, manage schema evolution via interactive exercises, generate data quality reports, apply to a real ETL pipeline, and validate with a deliverable: Delta table with version history, boosting your immediate confidence.

Module 3Optimization and Integration: Z-Order, Vacuum, Pipelines (Spark Streaming)

Optimize your queries via Z-Order and compaction on real datasets, clean with VACUUM and OPTIMIZE in practical sessions, integrate Delta Lake with Spark Streaming for real-time streams, test scalability on simulated clusters, analyze performance before/after, produce a complete pipeline as final deliverable, and leave with ready-to-deploy templates, transforming your data projects into reliable successes.