Watch our last webinar: Spotfire + Statistica in Action. Replay Now →

Join our next webinar Jan 29: Register now →

Blog
The Story of How Data Virtualization Became Data Virtualization

The Story of How Data Virtualization Became Data Virtualization

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.

From time to time, we at Cadeon feel there might be some good or interesting articles, news or information that we want to share with the broader data community.  We are passionate about helping our clients with their data challenges and with that we are continually searching for solutions that make a positive impact in a quick and cost-effective manner.

Many years ago, we saw large challenges with traditional data warehousing and ETL processes that organizations were employing to get access to their data.  We researched and decided to become partners with Composite – a data virtualization solution.  Cisco also saw similar value in this solution of delivering data value to clients and bought Composite.

Today, we hardly have a discussion about data analytics without discussing data virtualization as well.  Below is a good short article on how Data Virtualization became Data Virtualization.

https://blogs.cisco.com/analytics-automation/the-story-of-how-data-virtualization-became-data-virtualizatio

Share this insight
Twitter X Streamline Icon: https://streamlinehq.com

Ready to transform your data strategy?

Talk to our experts about applying advanced insights to your organization.

By clicking Sign Up you're confirming that you agree with our Terms and Conditions.
Thank you for subscribing
Something went wrong. Please try again.
Blogs

You might also like

Explore additional resources to deepen your understanding of data strategy.

Data Virtualization vs ETL: Which Path is Right for Your Data?

Spotfire vs Tableau: Which Analytics Tool Wins for Your Data?

Data Validation Best Practices: 6 Steps for Clean Customer Data