dbt Tutorial: 7 Must-Know Concepts For Data Engineers | DataCamp
For the past few years, the data science community has been slowly accepting data-centric paradigms. Instead of increasingly complex machine learning models, we are finally focusing more on data quality. This gave rise to the massive popularity of data engineers. They are now earning salaries only given to skilled data scientists or ML engineers. And one tool that has significantly made data engineers’ lives better is dbt (data build tool). Its purpose is to introduce the battle-tested software engineering best practices to data engineering and produce data value as quickly and easily as possible. This article will cover the fundamentals of dbt for entry-level data engineers seeking to add an indispensable tool to their belt. You can also check out our Introduction to dbt course to learn more about this powerful tool. Only a few for this article: If you can’t meet these criteria and yet, and your boss (or yourself) still requires you to learn dbt, you can use the following resources: T
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