The Story of How Data Virtualization Became Data Virtualization
As the software marketer who drove the term and successful adoption of the category, I enjoy the chance to share the Data Virtualization category story.
Save the Children UK Improves Business and IT Collaboration with Cisco Data Virtualization
Save the Children UK believes every child deserves a future, and providing the right information to decision makers, donors, fund raisers, and foundations is critical to our mission. See how Cisco Data Virtualization is helping us access the right data, at the right time. Learn more.
A Great Time Out!
I’m thoroughly enjoying the NBA playoffs again this year, in large part because my favorite team is once again in contention for the championship (go Golden State Warriors!). I’ve watched most of their games this season and relish the entertainment the team provides. After many hours of viewership, it’s no surprise that I’ve internalized this […]
Five Reasons We Knew It Was Time to Use Data Virtualization
These 5 indicators suggested our existing data integration tools were holding us back. Learn more.
How Do We Know If We Are Ready for Data Virtualization?
Ask these questions to see if you’re ready for data virtualization, then take our short assessment to find out how prepared you are.
Our Data Journey to Serve Children in Poverty and Double Our Impact
Cisco Data Virtualization assists Compassion International's goal of helping 4 million children out of poverty.
Cisco and Platfora Delivering on the Promise of Enterprise Scale Analytics
Analytics will continue to take center stage as the volume of data generated by embedded systems increases and vast pools of structured and unstructured data within and outside the enterprise are analyzed. — Gartner Big Data will continue to be important, but it’s critical to first understand how businesses can quickly gather relevant insights from […]
The Three Mega Trends in Cloud and IoT
A consequence of the Moore Nielsen prediction is the phenomenon known as Data Gravity: big data is hard to move around, much easier for the smaller applications to come to it. Consider this: it took mankind over 2000 years to produce 2 Exabytes (2×1018 bytes) of data until 2012; now we produce this much in […]