The Data Virtualization Gold Standard

Robert Eve

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Top Stories by Robert Eve

Historically, most data integration has been accomplished by copying all the data to a new location (e.g., a data warehouse). This strategy essentially pre-stages the data that may be necessary to satisfy the complete set of possible queries that may be run. The consolidation activity is typically done at off hours in batch mode (using ETL), which is necessary because it puts non-trivial load on the source systems and consumes significant network bandwidth. In this approach the emphasis is on a comprehensiveness of the data set, not on the efficiency of assembling it. Data Virtualization Differs from Data Consolidation Data virtualization takes an entirely different approach to data integration: data is integrated directly from the source systems when a request is made. In other words, the data is integrated on-demand to satisfy the current request. For this appro... (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)

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)

It’s Here! The First Book on Data Virtualization

Take the Data Virtualization Plunge Are you ready for a 201 page deep dive into data virtualization? If so, you are in for a treat. On October 11, 2011  the first book written on data virtualization, Data Virtualization: Going Beyond Traditional Data Integration to Achieve Business Agility was introduced to positive reviews from some of today's leading business intelligence (BI) and data integration analysts. Data Virtualization Adoption at Ten Enterprises Profiled Data Virtualization: Going Beyond Traditional Data Integration to Achieve Business Agility explores today's data virtua... (more)

Data Virtualization Q&A: What’s It All About

"What's it all about, Alfie?" is the first line in the Burt Bacharach sixties classic, Alfie. This lyric came to mind as I reflected back on the over sixty articles I have written on data virtualization over the past few years. These cover nearly every angle on data virtualization including use cases, business benefits, technology, financial justification and more.  Yet, with all this abundance, perhaps readers would value one article that answers the call, "What's it all about?" What Is Data Virtualization? Simply put, data virtualization is an agile data integration method that ... (more)