Abstract
The evolution of data engineering has been greatly influenced by advancements in cloud computing, machine learning (ML), and artificial intelligence (AI) technologies. This paper explores the intersection of these domains and discusses how data engineering practices have adapted to leverage the capabilities offered by cloud platforms and intelligent systems. It provides insights into the integration of ML and AI techniques into traditional data management processes, highlighting the challenges and opportunities associated with this evolution. Additionally, the paper discusses the impact of these technologies on data processing, storage, analysis, and decision-making, emphasizing the need for organizations to embrace these innovations to stay competitive in today's data-driven landscape
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Schedule a callMore From: Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online)
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