Databricks Training in Lyon

Databricks serves as a unified Lakehouse platform that integrates Spark, Delta Lake, and governance capabilities (via Unity Catalog) to enable scalable data engineering and analytics workflows.

This instructor-led live training, available both online and onsite, is designed for intermediate technology managers with a data engineering background. The goal is to migrate complex procedural OLAP logic to a Lakehouse architecture using Databricks, Spark, Delta Lake, Unity Catalog, and native workflows.

Upon completing this training, participants will be able to:

• Articulate Lakehouse architecture and the Bronze→Silver→Gold (Medallion) pattern.
• Convert stored-procedure logic into Spark DataFrame and notebook implementations.
• Design and implement incremental ingestion, merge operations, and optimization routines using Delta Lake.
• Construct end-to-end orchestrated pipelines leveraging Databricks Workflows, version control, testing, and governance.

Course Format

• Intensive, instructor-led sessions featuring focused demonstrations and explanations.
• Daily hands-on labs utilizing representative datasets and migration exercises.
• Guided code reviews, performance tuning clinics, and practice with workflow orchestration.

Course Customization Options

• This course can be tailored to your specific environment, datasets, and governance requirements; please contact us to arrange customization.

Azure Databricks is a cloud-based collaborative platform that supports big data analytics and machine learning using Apache Spark and the Microsoft Azure ecosystem.

This instructor-led, live training (online or onsite) is aimed at intermediate-level data professionals who wish to design, build, and deploy machine learning models using Azure Databricks for financial use cases.

By the end of this training, participants will be able to:

• Build and train machine learning models using financial data in Azure Databricks.
• Use MLflow to track experiments, manage models, and deploy solutions.
• Apply models to detect anomalies, assess risks, or forecast trends in finance.
• Integrate ML models into scalable pipelines for continuous evaluation.

Format of the Course also allows for the evaluation of participants.

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Databricks is a unified analytics platform designed for big data and machine learning in collaborative environments.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level data analysts and financial professionals who wish to perform large-scale data analysis using Databricks in finance-related use cases.

By the end of this training, participants will be able to:

• Use Databricks notebooks to query and analyze financial datasets.
• Clean and transform raw financial data for reporting and insights.
• Create dashboards and visualizations for performance tracking.
• Collaborate with team members in real time on shared notebooks.

Format of the Course also allows for the evaluation of participants.

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This instructor-led live training, held Lyon (online or onsite), is tailored for data scientists and developers who wish to establish, deploy, and manage data analytics solutions using Databricks.

By the end of this training, participants will be able to:

• Set up and configure Databricks.
• Understand the integration of Databricks and Apache Spark.
• Learn how to load and transform data in Databricks.