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 Power Query - Automating ETL for Massive Data training are: Mastery of basic Power Query, advanced Excel, and intermediate SQL. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training Power Query - Automating ETL for Massive Data training is available in distanciel. The format can be adapted to your needs (inter, intra, custom).

Training Power Query - Automating ETL for Massive… | 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 Power Query - Automating ETL for Massive Data 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 Power Query - Automating ETL for Massive Data 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 Power Query - Automating ETL for Massive Data 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 objectives

Master advanced M functions in Power Query for professional ETL

Develop parameterized and modular queries in a business context

Optimize performance for processing large volumes of data

Implement complex iterations and recursions with Power Query

Design certified ETL pipelines connected to Power BI

Automate data governance for sustainable skills

Training program

Module 1Advanced Power Query Transformations: M Functions and Complex Cleaning (Parameters, Iterations)

Dive into the M language to create custom functions, transform heterogeneous datasets from multiple sources like SQL Server or large CSV files, clean and structure non-normalized data via advanced conditional steps, perform practical exercises on real business cases with millions of rows, produce reusable queries and test their robustness for immediate efficiency gains.

Module 2Power Query Optimization: Performance and Modularity (Indexing, Buffering, Nested Tables)

Accelerate your ETL by mastering buffering and native indexing in Power Query, manage nested and hierarchical tables for multidimensional analyses, integrate dynamic parameters linked to Excel or Power BI, apply optimization techniques on massive datasets via collaborative practical workshops, diagnose bottlenecks with the built-in diagnostic tool, and deploy reusable modules that reduce processing time by 50% in production.

Module 3Power Query ETL Pipelines: Automation and Governance (Recursion, API, Enterprise Deployment)

Design recursive pipelines for iterative processing like accounting hierarchies, connect Power Query to secure REST APIs and real-time data streams, implement complete governance with logging and versioning, finalize a main project on a concrete business scenario such as financial consolidation, validate performance in real conditions, and prepare certified deployment for seamless integration into your enterprise BI tools.