Luan Moreno Medeiros Maciel

This session is repeated. In today’s data-driven world, the Data Lakehouse has emerged as a powerful architectural paradigm that unifies the flexibility of data lakes with the reliability and structure of traditional data warehouses. However, organizations must adopt the right data modeling techniques to unlock its full potential to ensure scalability, maintainability and efficiency. This session is designed for beginners looking to demystify the complexities of data modeling for the lakehouse and make informed design decisions. We’ll break down Medallion Architecture, explore key data modeling techniques and walk through the maturity stages of a successful data platform — transitioning from raw, unstructured data to well-organized, query-efficient models.

The main objective of this workshop is to demonstrate how Apache Airflow, together with the Astro Python SDK, can be used to orchestrate data pipelines and perform ETL processes in a scalable and performant way for professionals.