IT-Analysis.com
IT-Analysis.com Logo
Technology Applications
Business Issues Channels Enterprise Services SME Technology
Module Header
Louella FernandesLouella Fernandes
Louella Fernandes
22nd April - Internet of Things: A New Era for Smart Printing?
Simon HollowayThe Holloway Angle
Simon Holloway
18th April - Virgin Media expose private email addresses
Craig WentworthMWD Advisors
Craig Wentworth
17th April - Box's enterprise customers step forward to be counted
Craig WentworthMWD Advisors
Craig Wentworth
16th April - Egnyte the blue touchpaper...

White Papers

Composite Data Virtualization Platform
By: Bloor Research
Published: July 2010
Logo for Bloor Research

Most organisations have information in various places that they are either unable (perhaps for governance reasons or because the data is incompatible) or unwilling (either for organisational or cost reasons) to consolidate into a single data store. Nevertheless, companies frequently want to be able to combine this disparate information for a variety of potential reasons that we will come to in a moment. One way to do this is to hardwire links between the various applications and data sources involved. However, this is expensive, time consuming and, above all, it is inflexible. An alternative approach is to use data virtualisation (sometimes referred to as data federation or enterprise information integration—EII), which does not require specifically programmed links and which, as a result, is flexible rather than constrained.

The term ‘data virtualisation’ might, but should not, be confused with data centre virtualisation. However, the expressions ‘data federation’ and ‘EII’ have become associated with particular business problems, notably query processing across operational and data warehousing environments and in the implementation of registry-based master data management solutions. However, data virtualisation is not limited to supporting these sorts of use cases and extends to providing a solution for linking data marts and warehouses into an extended analytic environment, enterprise data sharing (perhaps including such things as mash-ups), providing infrastructure support for real-time capabilities, and for integrating internal resources with those that may be outsourced or hosted in SaaS applications or in cloud environments.

Download Paper (Registered Members Only)

By downloading you agree to our Terms and Conditions. These include information regarding use of your personal data.

Register As New Member | Login as Registered Member


Related Links:

Advertisement



Published by: IT Analysis Communications Ltd.
T: +44 (0)190 888 0760 | F: +44 (0)190 888 0761
Email: