"The Power of dbt and Dremio in Implementing a Data Lakehouse" is a forward-looking talk designed to unpack the data lakehouse concept, elucidate Dremio's integral role in this architecture, and demonstrate how dbt (data build tool) can streamline the creation and management of your lakehouse's semantic layer.

We begin with an introduction to the data lakehouse model, highlighting its significance in fostering data democratization, enhancing analytics capabilities, and providing a unified platform for machine learning and BI applications. This section sets the stage for a deeper dive into how Dremio facilitates the transition to a data lakehouse by offering a direct query layer that bridges the gap between raw data in data lakes and refined insights.

The focus then shifts to the transformative impact of dbt in this ecosystem. dbt empowers data teams to define, deploy, and manage complex data transformation workflows directly within the data lakehouse, promoting a code-first approach to building a semantic layer. Through practical examples, attendees will learn how dbt's modular, version-controlled, and collaborative development environment complements Dremio's capabilities, making the process of curating and managing the semantic layer more efficient and scalable.

By attending this talk, participants will gain a comprehensive understanding of the data lakehouse architecture, appreciate Dremio's pivotal role in enabling such an ecosystem, and discover how dbt can simplify the curation of the semantic layer, leading to a more agile, manageable, and powerful data analytics platform. Whether you're a data engineer, data analyst, or data architect, this session will equip you with the knowledge and strategies to leverage dbt and Dremio in realizing the full potential of your data lakehouse.