An Integrated Framework for Data Engineering: Orchestration, Governance, and Analytics in Modern Data Architectures

Abstract

In the era of big data, the ability to efficiently manage, process, and analyze large volumes of data is crucial for organizations to gain a competitive edge. This paper presents an integrated framework for data engineering that addresses the key components of orchestration, governance, and analytics within modern data architectures. The framework is designed to provide a comprehensive solution that ensures data quality, security, and scalability while enabling advanced analytics and decision-making. We discuss the challenges and requirements of each component, propose a modular architecture, and present algorithms and case studies to demonstrate the effectiveness of the framework. The paper also includes a comparative analysis with existing solutions and future research directions