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 - Master Reliable Data Lakes in 35h training are: Basic knowledge of SQL and Python, elementary familiarity with Apache Spark.. A preliminary interview validates your eligibility.

What are the objectives of the Training Delta Lake - Master Reliable Data Lakes in 35h training?

The objectives of the Training Delta Lake - Master Reliable Data Lakes in 35h training are: Understand the ACID principles of Delta Lake. Install and configure Delta Lake with Spark. Create and manage Delta Lake tables. Perform reliable transactions on massive data. Optimize Delta query performance. Manage versions and time travel. Integrate Delta Lake into data pipelines. Upon completion, you will be able to put these skills into practice.

Is the training available in person?

Yes, the Training Delta Lake - Master Reliable Data Lakes in 35h training is available in remote. The format can be adapted to your needs (inter, intra, custom).

Training Delta Lake - Master Reliable Data Lakes... | 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 - Master Reliable Data Lakes in 35h 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 - Master Reliable Data Lakes in 35h 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 - Master Reliable Data Lakes in 35h 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 access terms and deadlines

Training program

Module 1Introduction to Delta Lake: ACID Fundamentals, Spark-Delta Installation (CLI tools, Jupyter notebooks)

Discover the basics of Delta Lake for reliable data lakes, install the Spark-Delta environment live on your machine, complete practical setup exercises, create your first Delta table with real customer data, test simple ACID transactions, produce a deliverable: operational table ready for use.

Module 2Delta Lake Table Management: CRUD Operations, Evolving Schemas (Spark SQL, DataFrames)

Dive into creating and manipulating Delta tables, perform inserts, updates, and deletes via Spark SQL, manage schema evolution on real e-commerce cases, optimize with Z-Order, generate data quality reports, leave with a functional CRUD pipeline.

Module 3Transactions and Reliability: ACID in Action, Error Handling (Delta Lake Logs, Checkpoints)

Master ACID transactions to avoid corruptions, simulate Spark job failures on large datasets, implement checkpoints and automatic optimizations, analyze Delta logs for debugging, build a data recovery exercise, obtain a deliverable: resilient transactional job.

Module 4Time Travel and Versions: Data Historization, Audits (Delta History, VACUUM)

Explore time travel to navigate data history, query past versions via SQL, perform change audits on real logs, clean up with VACUUM and OPTIMIZE, apply to a GDPR compliance case, produce an interactive temporal audit report.

Module 5Optimization and Integration: Advanced Performance, Pipelines (Delta + Spark Streaming, MLflow)

Boost performance with Delta indexing and caching, integrate into Spark Streaming pipelines, test on real-time IoT streams, prepare for ML with feature stores, review via final project, leave with a portfolio: optimized and deployable Delta Lake pipeline.