Designing Efficient Data Pipelines: A Framework for Ingestion, Processing, and Enrichment

Abstract

ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) pipelines are the foundation of modern data processing, enabling efficient transformation and integration of various data sources. Despite extensive research, significant gaps remain, particularly in the areas of data processing, data quality and integrity, and security and privacy. This article provides a comprehensive review of the existing literature on prompts to identify gaps. We then present the design and implementation of an advanced combination therapy system that addresses these issues. Our pipeline combines real-time data streaming, efficient data processing, and advanced security features. The results of this study help create efficient, reliable, and secure ETL/ELT processes and provide methods that organizations can use to optimize processes and improve survey results. Keywords—BigData, Pipeline, Extract-Transform-Load(ETL),