Four ways to write faster data models with Wizard for dbt Core™

The text discusses the importance of efficient data transformation in modern data stacks and presents four ways to write faster data models with Fivetran's Wizard for dbt Core™ and Google Cloud BigQuery. It highlights the need for a modern approach to data transformation, which is often the most challenging part for companies. The text then delves into a possible stack consisting of Fivetran, Google Cloud BigQuery, and dbt Core, explaining how each tool contributes to the overall process. Additionally, it introduces Fivetran's Wizard for dbt Core™ extension for Visual Studio Code, which helps analysts write more efficient models in the CLI for data in BigQuery. The text concludes by emphasizing that a modern approach to data transformation can help businesses focus on data-driven decisions and reduce time spent on data pipeline processes.