The Data Virtualization Gold Standard

Robert Eve

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Top Stories by Robert Eve

An IDC research study found that, in 2010, the universe of information exceeded one zettabyte, or one trillion gigabytes, for the first time in history, and is expected to grow another nine fold over the next five years. Just keeping up is a huge challenge. Further this data resides in various silos developed over many years of technology acquisition and business consolidation. So add data integration to your "most important things to-do" list. Data Virtualization to the Rescue Data virtualization has been purpose-built to address these challenges through an agile, high-value data integration approach that address these volumes, quickly providing business with the timely data it needs, even if the data required spans multiple silos.  Below are twelve good reasons why businesses and government agencies use data virtualization. Twelve Good Reasons to Use Data Virtualiza... (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)

What's So Great About Data Virtualization?

Business Change Guides Data Integration Strategy Traditional data integration approaches such as consolidation and replication alone are unable to keep pace with today's dynamic pace of business and ever changing information requirements. Seeking greater agility, lower costs, and less risk, organizations are increasing adopting  data virtualization. Gain Agility and Cut Costs with Data Virtualization Data virtualization is high-performance query middleware that integrates data from multiple, disparate sources - anywhere across the extended enterprise - in a unified, logically virtua... (more)

Using Data Virtualization to Unleash Your SAP Data

Maximize the Return on SAP Investments SAP is the most widely deployed ERP solution in the world today.  However, for all of its strengths in supporting business processes, many organizations  find gaining business insight from SAP’s huge repositories a daunting challenge. SAP’s creation of SAP BW and its acquisition of Business Objects and Sybase are moves in the right direction.  Yet these alone may not be enough, especially when you have: Multiple SAP instances, often on different releases and rarely fully compatible with SAP/s BI offerings Additional source systems outside SA... (more)

How to Evaluate a Data Virtualization Platform

800x600 Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 Gartner has repeatedly identified the importance of data services in enterprise information infrastructures in its evolving series of reports beginning in 2005.  Forrester’s Information-As-A-Service (IaaS) WaveTM reviewed the vendors and the technological advancements of this data integration market subset that is predicted to grow 40 percent by 2012, to $6.7 billion. Today’s advanced data virtualization platforms (DVPs) enable flexible and enterprise-scalable data services as both supplements to ... (more)