Robert Eve

Data virtualization's ability to overcome hardware and software complexity provides enterprises with an excellent opportunity to improve IT agility and save significantly. As more enterprises seek these benefits, data virtualization is swiftly moving from new idea to the mainstream. This article looks at the 10 most common mistakes made by early adopters as object lessons for helping new implementations accelerate the potential achievement of data virtualization's benefits. Determining where and when to use data virtualization is the source of five common mistakes that may occur as enterprises adopt data virtualization. Implementing data virtualization, from the design and enabling technology points of view, is the source of three potential mistakes. Failing to determine who implements it and failing to correctly estimate how much value may result are also common. ... (more)

Making the Case for Data Virtualization

Achieving compelling value from information technology is critical because IT is typically an enterprise or government agency's largest capital expense. Increasing business complexities and technology choices create greater demands for justification when making IT investments. Cambridge, MA-based analyst firm Forrester Research recently reported that, "Business and government's purchases of computer and communication equipment, software, IT consulting, and integration services and IT outsourcing will decline by 3% on a global basis in 2009 when measured in U.S. dollars, then ris... (more)

Virtualization - Fast-Forward to Today's Virtual Data Marts

When Honda introduced the Civic in America in 1972, industry experts declared Honda would never succeed because automobiles were too complex and required skills and technology beyond those of the mere motorcycle company. Fast forward to today when Honda’s Civics and Accords are two of North America's top-selling cars. What changed? Honda developed the skills and technology to build nimble automobiles, while competitors stayed mired in old paradigms – big cars, poor mileage, and mediocre quality. This story is being retold today with virtual data marts. Virtual Data Marts – Solu... (more)

The Intersection of Data Virtualization and Enterprise Data Warehouses

Virtualization Magazine on Ulitzer Large enterprises and government agencies are drowning in data. IT teams deploy a myriad of data warehouse-centric solutions - BI, predictive analytics, data and content mining, portals and dashboards - to harness and deliver data for intelligent decision-making. Yet, large enterprises are also expected to act like start-ups: nimble, agile and flexible to adapt to ever-changing market conditions. Impossible? By examining the best practices of their successful peers and adapting these to their own enterprises, data teams and enterprise architects... (more)

Hybrid Solutions for Data Virtualization and Enterprise Data Warehouses

Weblogic at Cloud Expo The intersection of data virtualization and enterprise data warehouses represents corporate best practices for delivering the rich data assets available in the enterprise data warehouse with the myriad sources of data now available outside the data warehouse. In Part Two of this two-part series, I will target improving data warehouse efficiency by showing four best practices where data virtualization, used alongside data warehouses, saves time and money. Part One examined ways that data virtualization improves data warehouse effectiveness. 4. Data Wareho... (more)