Journal of Advances in Developmental Research

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Real-Time Data Transformation using dbt Labs

Author(s) Srinivasa Rao Karanam
Country United States
Abstract The rapid proliferation of digital information in diverse industries has thrust real-time data transformation into the spotlight, enabling immediate conversion of raw datasets into valuable insights. This paper emphasize on the architectural, methodological, and operational dimensions of employing dbt (data build tool) Labs for instantaneous data transformations, while elaborating on the technical underpinnings that drive such processes. Real-time analytics, facilitated by dbt’s streamlined framework, empowers organizations to make speedy and strategic decisions based on the most updated data. The ensuing discussion is structured to elucidate the theoretical background behind real-time data handling, the role of dbt Labs in constructing flexible pipelines, and the key practices for implementing scalable and robust transformations. By analyzing tangible applications and exemplifying how dbt fosters a collaborative ecosystem, this work also highlight the inherent hurdles and relevant mitigations. Overall, the findings underscore how dbt-based real-time pipelines form a bedrock for advanced analytics, fostering both operational efficiency and dependable data-driven intelligence in modern enterprises.
Field Engineering
Published In Volume 15, Issue 2, July-December 2024
Published On 2024-08-09
Cite This Real-Time Data Transformation using dbt Labs - Srinivasa Rao Karanam - IJAIDR Volume 15, Issue 2, July-December 2024. DOI 10.5281/zenodo.14988589
DOI https://doi.org/10.5281/zenodo.14988589
Short DOI https://doi.org/g87cj8
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