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Master Data Management and Edge Computing: Empowering Data-Driven Decision Making in Distributed Environments

EasyChair Preprint no. 12478

8 pagesDate: March 13, 2024

Abstract

Master Data Management (MDM) and Edge Computing represent two transformative technologies that are reshaping the landscape of data management and analytics in the era of the Internet of Things (IoT) and Industry 4.0. MDM serves as a foundation for establishing a single, authoritative source of truth for critical business data, ensuring consistency, integrity, and reliability across the enterprise. On the other hand, Edge Computing enables data processing and analytics to be performed closer to the data source, offering low latency, bandwidth optimization, and real-time insights. This research paper explores the convergence of MDM and Edge Computing, examining the synergies, challenges, and opportunities associated with their integration

Keyphrases: data, management, Master

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:12478,
  author = {Emily Carter and Kurez Oroy},
  title = {Master Data Management and Edge Computing: Empowering Data-Driven Decision Making in Distributed Environments},
  howpublished = {EasyChair Preprint no. 12478},

  year = {EasyChair, 2024}}
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