5 DBT Repositories You Need to Star on GitHub
Too Long; Didn't Read
Data engineering has just been nominated as the profession most in-demand in 2022. The process of data engineering can be understood as extracting, transforming, and loading data (ETL). Data is loaded from the source, transformed, and loaded into a table at a data warehouse. This process is automated and repetitive so that clean, updated, and reliable data ultimately flows into a Dashboard and into other data products (e.g. a recommendation engine).