Re-Imagine your Data Pipelines Using dbt
Honish Joseph, Derik Roby · International Journal of Science and Research (IJSR) · 2024
dbt [1] has quickly become one of the most popular tools for managing transformations in ELT data pipelines, offering a fresh approach to data engineering workflows. By borrowing tried - and - tested practices from software engineering, dbt brings much - needed consistency to workflows that often feel chaotic or disconnected. It simplifies pipeline development, takes care of dependency management automatically, and builds testing and documentation directly into the process. This article explores how dbt empowers teams to build scalable, high - quality data pipelines, improve collaboration, and reduce dependency on specific platforms, making data projects more efficient and future - proof.