In this session Connor will dive into optimizing compute resources, accelerating query performance, and simplifying data transformations with dbt and cover in detail: - SQL-based data transformation, and why is it gaining traction as the preferred language with data engineers - Life cycle management for native objects like fact tables, dimension tables, primary indexes, aggregating indexes, join indexes, and others. - Declarative, version-controlled data modeling - Auto-generated data lineage and documentation

Learn about incremental models, custom materializations, and column-level lineage. Discover practical examples and real-world use cases how Firebolt enables data engineers to efficiently manage complex tasks and optimize data operations while achieving high efficiency and low latency on their data warehouse workloads.

Speaker: Connor Carreras Solutions Architect Firebolt

Read the blog to learn about the latest dbt Cloud features announced at Coalesce, designed to help organizations embrace analytics best practices at scale https://www.getdbt.com/blog/coalesce-2024-product-announcements