Zero ETL for Cloud-Native Applications on AWS: A Paradigm Shift in Data Processing and Quality Assurance
- Version
- Download 7
- File Size 569.53 KB
- Download
Zero ETL for Cloud-Native Applications on AWS: A Paradigm Shift in Data Processing and Quality Assurance
Authors:
Name: Satyam Chauhan
Email: chauhan18satyam@gmail.com
Place: New York, NY, USA
Abstract—the advent of cloud-native applications has revolutionized the way data is processed, stored, and analyzed. Traditional Extract, Transform, Load (ETL) processes, while effective, often introduce latency, complexity, and scalability challenges. This paper explores the concept of Zero ETL, a paradigm shift in data processing that leverages the inherent capabilities of cloud-native platforms like Amazon Web Services (AWS) to eliminate the need for traditional ETL pipelines. We delve into the architectural principles, benefits, and challenges of Zero ETL, with a focus on its implications for data quality assurance. Through a combination of theoretical analysis, case studies, and empirical data, we demonstrate how Zero ETL can enhance data processing efficiency, reduce operational overhead, and improve data quality in cloud-native environments. The paper concludes with a discussion on future research directions and practical considerations for adopting Zero ETL in enterprise settings.
Keywords—AWS, Cloud-Native Applications, Cost Efficiency, Data Governance, Data Processing, Quality Assurance, Real- Time Analytics, Scalability, Server less Computing, Zero ETL.