NoSQL Databases and Master Data Management: Revolutionizing Data Storage and Retrieval

Authors

  • Ronak Ravjibhai Pansara Author

Abstract

This research paper delves into the transformative impact of NoSQL databases on Master Data Management (MDM), highlighting their role in revolutionizing data storage and retrieval processes. As organizations grapple with increasing volumes of diverse and unstructured data, traditional relational databases face limitations in scalability and flexibility. The paper explores how NoSQL databases address these challenges by providing agile and scalable solutions for managing master data. The abstract will further delve into specific NoSQL database technologies, examining their unique features and advantages in the context of MDM. It will discuss real-world case studies and implementations where the integration of NoSQL databases has led to enhanced efficiency, improved data quality, and streamlined data retrieval processes within the MDM framework. Additionally, potential challenges and considerations associated with adopting NoSQL databases for MDM will be analyzed, offering insights for organizations navigating the evolving landscape of data management technologies.

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Published

2020-01-25

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How to Cite

NoSQL Databases and Master Data Management: Revolutionizing Data Storage and Retrieval. (2020). International Numeric Journal of Machine Learning and Robots, 4(4), 1-11. https://injmr.com/index.php/fewfewf/article/view/32

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