Edge Computing in Master Data Management: Enhancing Data Processing at the Source
Abstract
The integration of edge computing with master data management (MDM) represents a paradigm shift in data processing, aiming to optimize efficiency and reduce latency by bringing computation closer to the data source. This research paper delves into the synergies between edge computing and MDM, exploring the potential benefits and challenges associated with this innovative approach. The abstract highlights key aspects such as enhanced real-time processing, reduced data transfer requirements, and the implications for data governance. Through a comprehensive review of existing literature and case studies, this paper aims to provide valuable insights into the transformative impact of edge computing on MDM practices.
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