Rate the Article: Enhancing Data Engineering and AI Development with the 'Consolidate-csv-files-from-gcs' Python Library, IJSR, Call for Papers, Online Journal
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

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Informative Article | Data & Knowledge Engineering | India | Volume 9 Issue 5, May 2020 | Rating: 5.1 / 10


Enhancing Data Engineering and AI Development with the 'Consolidate-csv-files-from-gcs' Python Library

Preyaa Atri


Abstract: This paper introduces the "Consolidate-csv-files-from-gcs" library, a Python library designed to enhance both data engineering efficiency and AI development by streamlining the process of merging multiple CSV files stored in Google Cloud Storage (GCS) buckets. We explore the library's functionalities, including installation, usage, and the underlying logic of its core function. The library not only simplifies data merging but also supports the creation of unified datasets critical for AI model training and analysis. We discuss its applications, potential impacts, and future development recommendations to further improve data engineering practices and AI advancements.


Keywords: Google Cloud Storage, CSV, Data Merging, Python Library, Data Engineering, AI


Edition: Volume 9 Issue 5, May 2020,


Pages: 1863 - 1865



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