We use cookies and other similar technologies (Cookies) to enhance your experience and to provide you with relevant content and ads. By using our website, you are agreeing to the use of Cookies. You can change your settings at any time. Cookie Policy.

Untitled Document

As a proven data integration technique, data virtualization is being increasingly adopted by enterprises and government agencies seeking to complement their earlier data consolidation and data synchronization investments. Moreover, data virtualization usage has recently accelerated as a way to gain tangible revenue, productivity, compliance and cost benefits.

A number of data virtualization usage patterns have emerged as its adoption moves beyond individual projects to enterprise-wide deployments. Common to all is the need to rapidly overcome data complexity, location, structure, completeness and latency challenges. This article identifies eight popular patterns along with typical use-case scenarios that address day-to-day business problems.

Data virtualization at a glance

Data virtualization middleware integrates data from multiple, disparate sources -- anywhere across the extended enterprise -- in a unified, logically virtualized manner for consumption by nearly any front-end business solution, including reports, portals, mashups, applications, search and more. By accessing the data from both original and already consolidated data warehouse sources, data virtualization avoids the need for additional physical consolidation and replicated storage of source data, making it faster to build and lowering the cost to operate when compared to data-warehouse-only integration approaches.

Developers can create semantic abstractions in the form of relational views or data services. At run time, user-level applications, reports or mash-ups call upon these on-demand data services to provide the requested data. A high-performance data virtualization server optimizes access to the data, as well as queries, federates, abstracts and delivers this data to the consuming applications.

Operational transparency is a key feature, enabling the data virtualization middleware to fit easily into any existing IT environment. Rapid time to solution, lower total cost of ownership, and effective leveraging of existing staff and technology resources are the primary benefits that data virtualization delivers.

Eight popular data virtualization patterns

Since its introduction, data virtualization use has evolved across several dimensions. Scale of deployment is one dimension, evolving from initial projects to wider multi-project deployments. Support for new technology initiatives is another, evolving to support large-scale virtualization, service-oriented architecture (SOA) and cloud computing initiatives.


1  2  3  4  

   Next Page

Explore Our Topics

  • Virtual Conferences
  • Webinars
  • Roundtables

BPM in Action

March 10, 2011

The sixth annual BPM in Action 2011 Virtual Conference will explore cutting-edge market developments in BPM and describe how to leverage them for improved business operation and performance. More

View All Virtual Conferences

Smart Case Management: Why It's So Smart.

Date:Nov 05, 2009
Time:12:00 PM ET- (17:00 GMT)


Date:Oct 29, 2009
Time:15:00 PM ET- (19:00 GMT)

View All Roundtables
  • Research Library
  • Podcasts
  • News

Joe McKendrick: Part II of II: Designing Evolve-ability into SOA and IT Systems

In part two of Joe McKendrick's recent podcast with Miko Matsumura, chief strategist for Software AG, they talk about how SOA and IT systems need to change and grow and adapt with the organization around it.

Listen Now

Phil Wainewright: Helping Brands Engage with Social Media

Phil Wainewright interviews David Vap, VP of products at RightNow Technologies, and finds out how sharing best practices can help businesses understand how best to engage with online communities.

Listen Now

Peter Schooff: Making Every IT Dollar Result in a Desired Business Outcome: Scott Hebner of IBM Rati

Scott Hebner, Vice President of Marketing and Strategy for IBM Rational, discusses a topic on the top of every company's mind today: getting the most from IT investments.

Listen Now

Jessica Ann Mola: Where Will BI Fit In? Lyndsay Wise Explains

In BI, this tough economy and the increasing role of Web 2.0 and MDM are certainly topics on people's minds today. WiseAnalytics' Lyndsay Wise addresses each of them in this informative podcast.

Listen Now

Dennis Byron: Talking with...Deepak Singh of BPM Provider Adeptia

Deepak Singh, President and CTO of Adeptia, joins ebizQ's Dennis Byron in a podcast that gets its hand around the trend of industry-specific BPM.

Listen Now
More Podcasts
  • Most Popular
  • Quick Guide
  • Most Discussed

Quick Guide: What is BPM?

Learn More

Quick Guide: What is Event Processing?

Smart event processing can help your company run smarter and faster. This comprehensive guide helps you research the basics of complex event processing (CEP) and learn how to get started on the right foot with your CEP project using EDA, RFID, SOA, SCADA and other relevant technologies. Learn More

Quick Guide: What is Enterprise 2.0?

A lot of people are talking about Enterprise 2.0 as being the business application of Web 2.0 technology. However, there's still some debate on exactly what this technology entails, how it applies to today's business models, and which components bring true value. Some use the term Enterprise 2.0 exclusively to describe the use of social networking technologies in the enterprise, while others use it to describe a web economy platform, or the technological framework behind such a platform. Still others say that Enterprise 2.0 is all of these things. Learn More