Deploying and Implementing RFID Systems for tracking and controlling products in supply chain management is not affordable for small and midsized companies due to its complexity, cost, and difficulties pertaining data management and maintenance. Cloud computing can be used to mitigate the risks associated with the implementation and deployment of RFID based on system in supply chain management because the complex system for data filtering, management and maintenance can be implemented on the cloud that otherwise requires the purchase of new hardware, staff and professional services.
The aim of this paper is to depict new approach called taxonomy based data marts which add a new layer for the categorization of the queries using data warehouse which is the database that contains data relevant to an organization information and respond quickly to multi dimensional analytical queries. The new algorithm is introduced here for more precise results and time saving consumption using data marts which collects data for specific set of users or knowledge workers. Data warehouses often adopt a three-tier architecture. The bottom tier is a warehouse database server, which is typically a relational database system. The middle tier is an OLAP server, and the top tier is a client that contains query and reporting tools. Another new layer is added for faster results. This is done with the help of query classification technique.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.