Where We’ve Been When Judith Davis and I co-authored Data Virtualization: Going Beyond Traditional Data Integration to Achieve Business Agility in 2011, we identified the five most popular Data Virtualization usage patterns at that time. “Data
Forrester Consulting recently conducted a Total Economic Impact (TEI) study and examined the potential return on investment (ROI) enterprises may realize by deploying the Cisco Data Virtualization solution. This provides readers with a framework to
At the recent Gartner BI Summit in Las Vegas, there was a lot of discussion about the paradigm shift underway in business intelligence (BI) and analytics. Business’s need for agile data access and self-service, combined with IT’s inability to
Big data and analytics are changing the competitive playing field. Winners will find ways to turn unprecedented growth and complexity of big data, cloud, IoT devices and more into competitive advantage. The Value of Big Data Integration Big data
The challenges of data management are getting exponentially harder. These ever-increasing data quantities, diversity and distribution are revolutionizing data management, opening the door for new solutions such as data virtualization. Data
I recently wrote about how Cisco is helping customers more effective manage massive amounts of data, types of data and unprecedented distribution of data. This will be one of the toughest challenges brought on by the Internet of Everything (IoE) and
In our previous big data blogs, my Cisco associates have focused on the topic of building the best infrastructure for long-term success with big data. I’d like to start a new chapter in the series, focusing on building the right data strategy and
Steve Jobs is arguably the most amazing innovator of our times. I recently read some of his thoughts on innovation. His statement “Innovation distinguishes between a leader and a follower,” caused me to reflect upon my eight-year association with
Historical data is now an essential tool for businesses as they struggle to meet increasingly stringent regulatory requirements, manage risk and perform predictive analytics that help improve business outcomes. While recent data is readily accessible
