Re-Imagine your Data Pipelines Using dbt

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.

Authors

Publication Details

Journal
International Journal of Science and Research (IJSR)
Published
2024-11-05
DOI
https://doi.org/10.21275/sr241125001015
Primary Topic
Data Mining Algorithms and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Re-Imagine your Data Pipelines Using dbt

Honish Joseph, Derik Roby
International Journal of Science and Research (IJSR)
Data Mining Algorithms and Applications
article

Re-Imagine your Data Pipelines Using dbt

Honish Joseph, Derik Roby
article en

Abstract

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.

International Journal of Science and Research (IJSR)Vol. 13(11)
Openalex Percentile: Top 66%
Data Mining Algorithms and Applications
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