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 Advanced Databricks Training - Optimize Your Big Data Pipelines training are: Mastery of Spark, Python or Scala, advanced SQL, Databricks basics. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Advanced Databricks Training - Optimize Your Big Data Pipelines training is available in remote. The format can be adapted to your needs (inter, intra, custom).

Advanced Databricks Training - Optimize Your Big... | 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 Advanced Databricks Training - Optimize Your Big Data Pipelines 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 Advanced Databricks Training - Optimize Your Big Data Pipelines 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 Advanced Databricks Training - Optimize Your Big Data Pipelines 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 program

Module 1Clusters and Optimization: Advanced Configuration (Spark, Autoscaling, Monitoring Tools)

Dive into high-performance cluster configuration, test autoscaling on massive datasets, analyze metrics with Ganglia and Spark UI, perform practical exercises to reduce costs by 30%, create your first optimized notebooks, while mastering best practices for infinite scalability.

Module 2Data Pipelines: Delta Lake and Processing (Advanced ETL, ACID Transactions)

Build robust pipelines with Delta Lake, implement ACID transactions on terabytes of data, optimize merges and upserts through real enterprise cases, generate deliverables like versioned Delta tables, experiment with time travel for quick audits, boost your productivity with ultra-fast queries.

Module 3Advanced Machine Learning: MLflow and Models (Tracking, Serving, Unity Catalog)

Deploy end-to-end ML models with MLflow, track experiments and hyperparameters on real datasets, serve models in production via MLflow Model Registry, integrate Unity Catalog for centralized governance, produce automated reports, transform your ML projects into scalable enterprise-ready solutions.

Module 4Security and Automation: Jobs, APIs, Governance (Secure Workspaces, CI/CD)

Secure your workspaces with RBAC and encryption, automate Databricks jobs via REST APIs, integrate CI/CD with Git, simulate data mesh governance scenarios, generate orchestrated workflows, leave with deploy-ready scripts, master GDPR compliance for zero-risk environments.