Streamlined Data Extraction and Automated Email Distribution: The BigQuery Email Extractor Approach

Abstract

This paper explores BigQuery Email Extractor, a Python library designed to facilitate data extraction from Google BigQuery tables and subsequent
dissemination via email as a CSV attachment. The library streamlines the data export process from BigQuery, enabling efficient data distribution to designated recipients. This paper delves into the problem statement addressed by BigQuery Email Extractor, the functionalities it offers, its potential applications, and the broader impact it can have. Additionally, the paper explores the library's scope and limitations, concluding with insightful
recommendations for future enhancements.