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Informative Article | Data Knowledge Engineering | Volume 9 Issue 5, May 2020 | Pages: 1863 - 1865 | India
Enhancing Data Engineering and AI Development with the 'Consolidate-csv-files-from-gcs' Python Library
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
How to Cite?: Preyaa Atri, "Enhancing Data Engineering and AI Development with the 'Consolidate-csv-files-from-gcs' Python Library", Volume 9 Issue 5, May 2020, International Journal of Science and Research (IJSR), Pages: 1863-1865, https://www.ijsr.net/getabstract.php?paperid=SR24522151121, DOI: https://dx.doi.org/10.21275/SR24522151121