UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 10 | October 2025

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Published in:

Volume 12 Issue 2
February-2025
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2502817


Registration ID:
560241

Page Number

i213-i221

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Title

Agile Data Engineering for Rapid Data Solutions

Abstract

Agile Data Engineering for Rapid Data Solutions represents a transformative approach in the field of data management, integrating agile methodologies with traditional data engineering practices to accelerate data-driven outcomes. This innovative framework emphasizes iterative development, continuous feedback, and adaptive planning, ensuring that data pipelines and analytics solutions are developed in sync with evolving business needs. By adopting agile principles, organizations can break down complex data challenges into manageable sprints, promoting collaboration among cross-functional teams and reducing time-to-value. The methodology fosters an environment where experimentation and rapid prototyping are encouraged, enabling data engineers to test and refine solutions efficiently. Moreover, this approach addresses critical issues such as scalability, data quality, and system integration, ensuring that solutions are both robust and flexible. Through the use of automation and continuous integration techniques, agile data engineering minimizes manual interventions and potential errors, leading to more reliable and maintainable systems. This paradigm shift not only enhances operational efficiency but also supports strategic decision-making by delivering actionable insights faster. Ultimately, Agile Data Engineering for Rapid Data Solutions offers a blueprint for organizations striving to remain competitive in a data-centric era, where the ability to respond quickly to market changes and emerging trends is paramount. Its emphasis on flexibility, collaboration, and continuous improvement makes it an essential strategy for modern enterprises looking to harness the full potential of their data assets.

Key Words

Agile, Data Engineering, Rapid Data Solutions, Iterative Development, Continuous Integration, Automation, Scalability, Flexibility, Collaboration, Data Pipelines

Cite This Article

"Agile Data Engineering for Rapid Data Solutions", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 2, page no.i213-i221, February-2025, Available :http://www.jetir.org/papers/JETIR2502817.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Agile Data Engineering for Rapid Data Solutions", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 2, page no. ppi213-i221, February-2025, Available at : http://www.jetir.org/papers/JETIR2502817.pdf

Publication Details

Published Paper ID: JETIR2502817
Registration ID: 560241
Published In: Volume 12 | Issue 2 | Year February-2025
DOI (Digital Object Identifier):
Page No: i213-i221
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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