Exploring data virtualization tools and technologies

Last updated:December 2013

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Editor's note

Companies increasingly face the challenge of managing a growing variety of data that comes from disparate sources, often both internal and external. While traditional information management technologies and approaches to data integration still play the leading role in most organizations, data virtualization software offers the potential to speed up integration and improve decision-making capabilities in applications requiring data from multiple source systems.

But implementing data virtualization tools -- which pull together data without consolidating it in a data warehouse -- is a significant change, and proponents may well encounter resistance to that change. Before subjecting business users to a major shift in the data management environment, it's worth it to thoroughly research data virtualization technology, how other organizations have implemented it and what they've learned from their experiences.

Learn more about data virtualization tools and technology in this essential guide, which offers news articles, user stories, interviews and videos on this emerging product category.

1Data virtualization in the field

Various companies have embraced and implemented data virtualization technologies at this point, demonstrating their potential business value and staying power. Check out the articles in this section for discussions of how data virtualization projects have worked for companies such as pharmaceutical giant Pfizer and companies in the insurance and technology sectors.

2How well do you know data virtualization technology?

Take this brief quiz to test your understanding of data virtualization tools and technologies.