Accelerating & Scaling dbt for The Enterprise

Scaling any system efficiently and effectively across an enterprise is always challenging, particularly with legacy data technology. 

dbt has ushered in a new era of data transformation, enabling data teams to adopt software development processes and patterns. However, scaling issues can still arise due to immature or misaligned processes. 

To avoid these issues, data teams must further embrace software development practices and move away from legacy paradigms. This guide is your roadmap to ensure dbt adoption across your organization while maintaining the best practices. 

Get an exciting glimpse of the covered topics:

• Common challenges to scaling dbt

• Establishing dbt conventions

• git best practices

• How to create a center of excellence

• Deployments and pipeline optimization