Data Modeling 101 for Data Lakehouse Demystified

Learn fundamental data modeling techniques for Data Lakehouse architecture in this 38-minute conference talk that demystifies the complexities of designing scalable and efficient data platforms. Explore the Data Lakehouse paradigm that combines the flexibility of data lakes with the reliability of traditional data warehouses, and discover how proper data modeling ensures scalability, maintainability, and efficiency. Dive into the Medallion Architecture framework and examine key data modeling techniques essential for lakehouse implementations. Follow the maturity stages of successful data platforms as they evolve from raw, unstructured data to well-organized, query-efficient models. Gain practical insights for making informed design decisions when building data lakehouse solutions, with guidance suitable for beginners seeking to understand this powerful architectural approach. The session is presented by Luan Moreno Medeiros Maciel, Lead Data Engineer at Pythian, and provides foundational knowledge for organizations looking to unlock the full potential of their data lakehouse implementations.