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Special Report
Enterprise Data Management
Data virtualization seeks to integrate technology systems and data by decoupling information from applications and managing it in a virtual middleware layer. This methodology, closely linked to service-oriented architecture, “not only eliminates the need for cumbersome transformation-coding but makes the addition of an application far simpler because it requires only one integration point--the application to the data service,” says Ptak Noel & Associates’ Jasmine Noel. Also in this report: A panel of experts assess the state of the data management industry; Armanta offers a framework for automating business processes; and more.
Contents
A Virtual Answer to Data Integration
Data virtualization, where information is decoupled from applications and managed in a middleware layer, is winning adherents in the financial services industry, but some see room for improvement.
Data Across the Enterprise: Pursuit of the Unobstructed View
How best to implement an enterprisewide data management program? A panel of experts evaluate the arena.
Avoiding the Human Integrator
With its framework for automating business processes, Armanta wants to let portfolio managers focus on investing, rather than struggling to integrate computer systems, data flows and applications.
DataSynapse Partners With Integration Vendor Informatica
DataSynapse is pairing its grid computing technology with Informatica’s data integration capabilities.
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Advances in Algorithmic Trading
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Sell Side Stresses Cross-Asset Capabilities
For Europe, U.S. Algo Lessons Useful But Limited
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NYSE Gives Floor Brokers Algo Access
Deep Value: Don't Pay Unless We Perform
High-Performance Computing
Contents
HPC: Faster, Cheaper and Easier to Use
Multicore Ups the Ante, Now Developers Must Catch Up
Security Risks Hiding in the Clouds
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