Unlocking the Power of Cloud Data: How the GCS XML CSV Transformer Enhances Data Accessibility

EasyChair Preprint 15164

Abstract

In the ever-evolving digital landscape, data plays a pivotal role in shaping business strategies and driving innovation. However, as the volume and variety of data continue to grow, ensuring its accessibility becomes a pressing challenge for organizations. XML, a format widely used for storing structured data, is often difficult to manage when it comes to integration and analysis. The GCS XML CSV Transformer provides a streamlined solution by converting XML files into a more accessible CSV format. This transformation not only simplifies data handling but also enhances the usability and integration of large datasets stored in Google Cloud Storage (GCS). In this article, we explore the critical role of the GCS XML CSV Transformer in optimizing data workflows, improving accessibility, and enabling more effective data-driven decision-making.

Keyphrases: Big Data, BigQuery, Cloud Analytics, Data Interoperability, Parquet, data formats, data integration, data pipelines, schema automation, schema mapping

@booklet{EasyChair:15164,
  author    = {Kayode Sheriffdeen},
  title     = {Unlocking the Power of Cloud Data: How the GCS XML CSV Transformer Enhances Data Accessibility},
  howpublished = {EasyChair Preprint 15164},
  year      = {EasyChair, 2024}}