Comprehensive tuning guide: IBM MDM, PME algorithm, services, and configurations

Sai Reddy Anugu *

Individual Researcher.
 
Review
International Journal of Science and Research Archive, 2024, 13(02), 043–047.
Article DOI: 10.30574/ijsra.2024.13.2.2097
Publication history: 
Received on 23 September 2024; revised on 27 October 2024; accepted on 31 October 2024
 
Abstract: 
The research paper provides comprehensive guidance on tuning specifics to maximize the efficiency of IBM MDM, particularly in high-performance environments. It addresses several advanced topics and tuning guidelines, focusing on the architectural framework and the details required for sustained performance. Including the recommendations to Handle Long-Chained Duplicates in Suspect Duplicate Processing (SDP), Minimize Deadlocks During Duplicate Processing, and Advanced Database Configurations for High-Performance WebSphere Application Server (WAS) Java Virtual Machine (JVM) and Cache Optimization, and Thread and session management, upgrading the Java version to hava8, Garbage Collection (GC) and Heap Memory Settings, servlet caching, and reduced application logging, MDM Workbench recommendations, Services tuning, and Batch processor tuning. IBM Messaging Queue’s Max server connections and Queue Connection Factory Settings.
 
Keywords: 
Master Data Management (MDM); Probabilistic Matching Engine (PME); Duplicates in Suspect Duplicate Processing (SDP); WebSphere Application Server (WAS); Event Manager (EM)
 
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0