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The Data Virtualization Gold Standard

Robert Eve

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Top Stories by Robert Eve

On April 12, 1912, the maiden voyage of the seemingly unsinkable RMS Titanic ended in disaster. One hundred years later to the day, is IT is on course for a similar collision, with similar catastrophic fate? An Increasingly Icy Relationship Between Business and IT Business dissatisfaction with IT is well-chronicled by TDWI and others.  IT responsiveness surveys1 show an average time to add a data source of nearly eight weeks, with another seven weeks added-on to create a new report or dashboard. TDWI research on the top five drivers for self-service BI2 show desultory results of similar magnitude: Constantly changing business needs (65%) IT's inability to satisfy new requests in a timely manner (57%) The need to be a more analytics-driven organization (54%) Slow and untimely access to information (47%) Business user dissatisfaction with IT-delivered BI capabilities... (more)

Where Is Data Virtualization Going?

By now, everyone understands that data virtualization is an agile data integration method used by business and IT to greatly simplify information access. Compared to other integration approaches, such as data consolidation via data warehouses and ETL, or data replication via ESBs and FTP, data virtualization queries data from diverse sources on demand without requiring extra copies what must be synchronized and supported. As a result, data virtualization's streamlined approach fulfills business information needs faster, using far fewer resources.  No wonder data virtualization ... (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)

Data Virtualization Reaches Critical Mass

Technology Advancements, New Patterns, And Customer Successes in the Spotlight On June 15, 2011, the first ever analyst report 100% focused on Data Virtualization was published by a research team led by Brian Hopkins of Forrester Research. The report, entitled Data Virtualization Reaches Critical Mass: Technology Advancements, New Patterns, And Customer Successes Make This Enterprise Technology Both A Short- And Long-Term Solution by Brian Hopkins with Alex Cullen, Mike Gilpin, Boris Evelson, Gene Leganza, and Mackenzie Cahill, examines a range of data virtualization topics and p... (more)