Performance is a crucial factor in delivering timely and accurate data to organizations. However, debugging the performance of dbt models can be a challenge, as most resources available focus on legacy databases or tips for specific data engines that do not translate to modern data platforms.

In this talk, we will focus on optimizing performance for dbt users, without focusing on any specific data warehouse. We will explore the commonalities across most data warehouses and provide practical tips and strategies for improving the performance of dbt models. From query optimization to materialization strategies.

Whether you're new to dbt or a seasoned user, this talk will provide valuable insights and best practices for improving the performance of your dbt models.