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The Data Virtualization Gold Standard

Robert Eve

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Top Stories by Robert Eve

People often ask me, “When is it appropriate to use data virtualization versus a more traditional form of data integration (e.g., consolidation using ETL)?” My answer often surprises them because this is not an either-or situation: data virtualization should be a ubiquitous layer in your infrastructure that all data consumers use to access enterprise data. Data Virtualization Focuses on the Data Consumer Whether the data underneath the virtualization layer is pre-consolidated (using ETL), pre-materialized (as a cache), or exists only in the original transactional and operational systems is a secondary question, the answer to which should be based on latency requirements, resource constraints, and committed SLAs. The data consumer doesn’t really care how IT accomplishes data delivery to meet expectations, so long as the consumer has the right data in the right timefram... (more)

Data Virtualization Adoption Propelled by Significant Business Benefits

Enterprise adoption of data virtualization accelerated in 2011 propelled by organizations growing need for greater business agility, lower costs and better performance. These benefits were fully described in an earlier series of articles: The Agile Business - Why Data Virtualization Is Needed How Data Virtualization Delivers Business Agility - Part 1 How Data Virtualization Improves Business Agility - Part 2 How Data Virtualization Improves Business Agility - Part 3 The success of data virtualization can now be observed across hundreds of organizations and is clearly evident in t... (more)

What to Do About the Data Silo Challenge

Organizations today understand that better access to information assets can improve their bottom-line. But they struggle with the variety of enterprise, cloud and big data sources, and all their associated access mechanisms, syntax, security, etc.  Further, few data sources are structured properly for business user or application consumption, let alone reuse.  And often the data is incomplete or duplicated. Data Abstraction Addresses These Challenges Data abstraction overcomes data source to data consumer incompatibility by transforming data from its native structure and syntax i... (more)

Can Virtualization Help with Governance?

As with motherhood and apple pie, who can argue with data governance? Business users like it because it assures critical business decisions are made based on sound data. IT likes data governance because as the organization's data stewards, it shows they are doing a good job. Compliance officers and risk managers like data governance because it lets them sleep at night. Data Governance Is Challenging Liking it is one thing.  Doing it is another. Enterprises are struggling to turn the concept of data governance into a reality due to significantly growing data volumes, variety and va... (more)

Want to Learn About Data Virtualization?

Want to Learn About Data Virtualization? Is your organization considering adding data virtualization to your data integration, SOA, and cloud technology stack? Or have you already started your data virtualization adoption journey? Either way, Data Virtualization Day 2011 is the place to go for the latest Data Virtualization trends and insights. Data Virtualization in the Big Apple! The second annual Data Virtualization Day is October 13 in New York City. The world's largest gathering of data virtualization experts and implementers is expected to draw over 150 attendees. "Going Beyon... (more)