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The Data Virtualization Gold Standard

Robert Eve

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Top Stories by Robert Eve

Data virtualization is a data integration approach used by innovative organizations to achieve business agility. Do you want to achieve similar gains, but are unsure where to apply data virtualization? There is no need to guess.  Follow the leaders down one or more of the five paths to data virtualization success. Five Popular Data Virtualization Usage Patterns Data virtualization is a versatile data integration solution that can be deployed to solve a wide range of data integration challenges.  Based on nearly ten years of successful implementations, several common usage patterns have emerged to help guide your enterprise's data virtualization adoption strategy. These data virtualization usage patterns include: BI data federation Data warehouse extension Enterprise data virtualization layer Big data integration Cloud data integration Let's briefly examine each one.... (more)

How Data Virtualization Improves Business Agility – Part 2

Business Agility Requires Multiple Approaches Agile businesses create business agility through a combination of business decision agility, time-to-solution agility and resource agility. This article addresses how data virtualization delivers time-to-solution agility. Part 1 addressed business decision agility and Part 3 will address resource agility. Time-To-Solution Agility = Business Value When responding to new information needs, rapid time-to-solution is critically important and often results in significant bottom-line benefits. Proven, time and again across multiple industries,... (more)

How Enterprises Measure Data Virtualization Platform Maturity

Data virtualization is one of the fastest-growing segments in enterprise IT today. Originally deployed for light BI federation needs, today's data virtualization use cases span a range of applications, including customer experience management, risk management and compliance, M&A transition and more. Data virtualization adoption has evolved from project-level deployments to enterprise-scale data virtualization layers that deliver data from multiple sources (Relational, Semi-structured XML, Dimensional MDX, the new NoSQL data types, and more) to multiple applications on demand. A... (more)

Big Data Meets Data Virtualization

“Not Your Grandfather’s Data Warehouse – Big Data and Virtualization Impact your EDW Architecture” is the title of a recent CIO.com blog by Brian Hopkins, a new analyst in Enterprise Architecture group at Forrester Research. Brian makes some great points about how two key technologies, Big Data and Data Virtualization, are impacting information architecture strategies and changing the role of the enterprise data warehouse as we know it. Enterprise Architects should consider Big Data and Data Virtualization impacts on their future DW architecture Above is the subtitle of Brian’s... (more)

Extend MDM with Data Virtualization

As competition accelerates, the business case for gaining a 360o view of your customers, products, and employees is compelling. 360o View of Customers - Sell additional offerings to existing customers.  Improve satisfaction.  Reduce churn. 360o View of Products - Optimize supply chain decisions. Eliminate duplicate products.  Cut costs. 360o View of Employees - Improve employee productivity.  Enable HR self-service.  Increase retention. MDM Applications Are Just a Start Master data management applications maintain and control critical master data.  However, MDM applications alone ... (more)