Unlocking Data Potential: The GCS XML CSV Transformer for Enhanced Accessibility in Google Cloud
Abstract: This paper introduces the GCS XML CSV Transformer, a Python library designed to facilitate the conversion of XML files stored in Google Cloud Storage (GCS) into a more readily usable Comma - Separated Values (CSV) format. This library leverages the Google Cloud Storage client library, enabling seamless download, transformation, and upload processes entirely within the Google Cloud Platform (GCP) environment. The paper delves into the features, functionalities, and applications of the library, highlighting its impact on data management workflows within the GCP ecosystem.
Keywords: Google Cloud Storage, XML, CSV, Data Transformation, Python Library
How to Cite?: Preyaa Atri, "Unlocking Data Potential: The GCS XML CSV Transformer for Enhanced Accessibility in Google Cloud", Volume 8 Issue 10, October 2019, International Journal of Science and Research (IJSR), Pages: 1870-1871, https://www.ijsr.net/getabstract.php?paperid=SR24608145221, DOI: https://dx.doi.org/10.21275/SR24608145221