As organizations strive to maximize the value of their data, managing costs (FinOps) is a critical aspect of data operations. In this session, we will explore how dbt can be leveraged to optimize cost efficiency in data operations, while delivering high-quality data outcomes.

We will delve into advanced techniques for using dbt to drive cost optimization in data modeling, transformation, and delivery workflows. Topics will include strategies for optimizing performance, materializations, caching, and monitoring in dbt to ensure cost effectiveness. Real-world examples and practical tips will be shared to help attendees align their DataOps workflows with FinOps principles.

Join us to learn how dbt can be utilized as a powerful tool for driving cost efficiency in data operations, and gain insights to optimize your organization's data processes from a FinOps perspective. Whether you are a data engineer, analyst, or data leader, this session will provide valuable strategies to maximize cost optimization in your dbt workflows, ultimately leading to better data outcomes and improved bottom-line results.