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Transaction Processing MiddlewareWhite Papers (View All Report Types)
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Cost/Benefit Case for IBM PureData System for Transactions: Comparing Costs and Time to Value with Oracle Exadata Database Machine X3
sponsored by IBM
WHITE PAPER: Interest in transaction processing appliances has grown. Can these systems realize the same benefits – better optimized performance, simpler deployment and lower operating costs – as their analytical counterparts? Access this white paper today to find out.
Posted: 26 Nov 2013 | Published: 30 Sep 2013

IBM

Counterparty Risk: Are We Leveraging Our Tools?
sponsored by Sybase, an SAP company
WHITE PAPER: While current technologies and techniques allow for more sophisticated and effective approaches to counterparty risk management than those that fell short in 2008, there are still barriers to successful adoption that will require organizational changes. Read this white paper to learn more.
Posted: 22 Feb 2012 | Published: 22 Feb 2012

Sybase, an SAP company

Real-Time Risk Monitoring
sponsored by Sybase, an SAP company
WHITE PAPER: Using a Visual Data Analytics Platform to Monitor and Manage Positions/Exposures in Real-Time Firms that engage in financial trading are exposed to counterparty risk (i.e., credit risk), market risk, and operational risk.
Posted: 02 Nov 2011 | Published: 02 Nov 2011

Sybase, an SAP company

Transforming Insight Into Action With Business Event Processing
sponsored by IBM
WHITE PAPER: This white paper explores key business event processing capabilities that are helping energy and utilities organizations to manage instrumented and intelligent utility networks detect outages, improve grid security, and prevent fraudulent use of energy.
Posted: 10 Oct 2011 | Published: 31 Dec 2009

IBM

IBM DB2 and IBM Power Systems: Transform information into insight and accomodate rising transaction volume - NEW! (Translated) 
sponsored by IBM
WHITE PAPER: This paper explains how the synergy of DB2 and Power Systems can help businesses simplify deployment of Web applications, achieve cost-effective large-scale processing, construct a large-capacity messaging backbone and consolidate workloads-- all accelerating your time to value
Posted: 18 Mar 2011 | Published: 18 Mar 2011

IBM
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