and learning how to apply dbt on an already existing database with well established structure. The project envelopes the use of Python, SQL, Docker, Spark and dbt. The project uses Formula 1 World ...

But how do you design and structure your data in the first place? That's where SQL data modeling comes in. In this article, you'll learn what SQL data modeling is, why it's important, and some ...

dbt is a framework to run SQL anywhere in your cloud or on-prem data warehouse ... The smart approach to data transformation boils down to hav­ing a strategy derived from data modeling. Your data ...

This book begins by introducing you to dbt and its role in the data stack, along with how it uses simple SQL to build your data platform, helping you and your team work better together. You’ll find ...

Analytics engineers have some of the most in-demand big-data roles in the industry. They're experts in SQL and a new tool called dbt, tasked with cleaning large data sets. Companies like Amazon ...

Handy and his co-founder created dbt as an abstraction layer atop SQL to address the data transformation needs of Fishtown Analytics ... which determine the model access levels, model contracts, and ...

Another benefit of SQL comprehension is that it adds a new layer of extremely detailed metadata to dbt Labs’ table- and column-lineage, enhancing data classification to support more nuanced ...

in a move to add “SQL comprehension” capabilities to dbt Labs’ data and analytics engineering platform. Adding SDF Labs’ technology to the dbt Labs platform will improve the efficiency of ...

and learning how to apply dbt on an already existing database with well established structure. The project envelopes the use of Python, SQL, Docker, Spark and dbt. The project uses Formula 1 World ...