The Data Virtualization Gold Standard

Robert Eve

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Top Stories by Robert Eve

Data Data Everywhere! According to IDC's June 2011 report Extracting Value from Chaos, the amount of information currently stored is 1.8 zettabytes (1.8 trillion gigabytes).  It has grown by a factor of nine in the past five years. How can anyone deal with the complexity associated with these volumes? For IT teams who need to understand this data as a first step before they can figure out how to use it to create high-impact business applications, this complexity is overwhelming. As a result, the business waits, opportunities are missed, and IT is once again the blame. Too Complex to Model Today's application development approaches are based on methods that were appropriate for earlier times when less data complexity was the norm. Take data modeling for example. Data modeling is the critical step where someone manually models a logical view of the data that an applicat... (more)

Why Bother to Abstract Your Data?

The benefits of providing the business side of the house with better access to information assets are many. But so too are the integration challenges that IT must address. Is there a better way? Consider data abstraction, a concept well understood by SOA architects that has recently gained favor with information architects within an overall data virtualization strategy. IT Complexity Reigns Consider the information landscape in a typical large enterprise.  It includes: Large volumes of complex, diverse data A wide landscape of application silos and fit-for-purpose data stores Ea... (more)

Ready, Set, Go! Get Started on Data Virtualization

So you like what you have heard about data virtualization. Who can argue with the business decision, time-to-solution and resource agility benefits that arise from data virtualization success? But as with any new technology, you know you need to begin your data virtualization adoption journey with a business justification and a technical evaluation, before you can commence a phased implementation. Business Justification Is the First Step The business value of data virtualization comes from its ability to help organizations deliver complete, high-quality and actionable information mo... (more)

Will Data Virtualization Work for Me?

Meeting Business Needs Drives Data Virtualization Adoption Making effective business decisions requires knowledge and insight that can only be developed from access to and analysis of complete, high-quality actionable information. Data virtualization enables IT to deliver this information to business with greater agility and lower costs than traditional data integration approaches and technologies. But how does data virtualization apply to my situation? Are there any patterns of adoption that I can look to for guidance? And in particular, what about my industry? Can I learn from ... (more)

To Achieve Self-Service BI, Consider Using Data Virtualization

Dynamic Times Require Dynamic BI Today's IT organizations face the daunting task of responding to constantly changing business demands, many of which require timely development of new or revised IT solutions. Mergers and acquisitions are just one example. Another is the fact that supply chains must form and re-form seemingly overnight as product lifecycles shorten and products become more personalized. Further, with the explosion of social media and mobile computing, end users are adding new and unforeseen demands for fast access to information. Has IT's mission to support busine... (more)