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The Data Virtualization Gold Standard

Robert Eve

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Top Stories by Robert Eve

While the benefits derived from greater business agility are significant, costs are also an important factor to consider. This is especially true in today's extremely competitive business environment and difficult economic times. This article, the last in a series of three articles on how data virtualization delivers business agility, focuses on resource agility. In Parts 1 and 2, business decision agility and time-to-solution agility were addressed. Resource Agility Is a Key Enabler of Business Agility In the recently published Data Virtualization: Going Beyond Traditional Data Integration to Achieve Business Agility, resource agility was identified as the third key element in an enterprise's business agility strategy, along with business decision agility and time-to-solution agility. Data virtualization directly enables greater resource agility through superior d... (more)

The Time Is Right for Data Virtualization

Data Virtualization: Going Beyond Traditional Data Integration to Achieve Business Agility is the first book published on the topic of data virtualization.  In writing the book's foreword, well-known IT industry analyst Colin White of BI Research, summarizes data virtualization's history and value, concluding that data virtualization's time has come. This article includes excerpts from the book's foreword. Supporting Business Users' Information Needs Providing business users with the data they need to make effective decisions has always been difficult. Increasing data volumes, var... (more)

Unify Cloud, Big Data and Enterprise Data with Ease

While Software-as-a-Service (SaaS), Platform-as-a-Service (PaaS), and Infrastructure-as-a-Service (IaaS) offer applications and resources at an attractive, pay-as-you-go price, they also create silos of data that are difficult to access by your analytics and BI solutions. Likewise, Big Data offers new storage techniques, processing capabilities and analytic opportunities.  But traditional analytics and BI solutions are typically built assuming relational, SQL-based sources. These often struggle when trying to deliver value from these new No-SQL sources. Cloud and Big Data Silos ... (more)

Five Ways Data Virtualization Improves Data Warehousing

An array of business intelligence (BI), predictive analytics, data and content mining, portals and more tap a growing volume of information sourced from enterprise data warehouses (EDW).  However, significant volumes of business-critical enterprise data resides outside the enterprise data warehouse.  To deliver the most comprehensive information to business decision-makers, IT teams are implementing data virtualization to preserve and extend their existing enterprise data warehouse investments. This article discusses five integration patterns that combine both enterprise data wa... (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)