Fast changing business conditions require agility, a difficult challenge in your distributed on-premises, big data and cloud environments. Data virtualization makes it easy for you to access your data, no matter where it resides.
Recognizing this accelerating customer requirement, Cisco acquired data virtualization market leader Composite Software in July 2013.
Cisco's integrated data platform optimizes query, compute and network infrastructure,so you access and query all types of data across the network as if it is in a single place.
You get the benefits of greater business insight and the flexibility you need in IT, with significant cost savings. You can then adapt to change more quickly and make better decisions in real time, without physically moving your data.
Data virtualization makes it possible to:
To learn how business and IT leaders use data virtualization to address big data and cloud challenges and drive business advantage, you can attend Cisco-sponsored Data Virtualization Day 2013 in New York City on Wednesday, October 9, 2013 from 8:30 am to 4:00 pm ET.
This year's powerful speaker line up includes:
Executives from Goldman Sachs, BMO Financial and Sky who will describe how they used data virtualization to address competitive, cost and compliance challenges
Analyst speakers including Forrester Research's Noel Yuhanna and R20/Consultancy's Rick van der Lans will describe the state of data virtualization today, while projecting its future
Cisco executives will communicate the vision surrounding their acquisition of Composite Software and the synergies that the combination will provide to the data virtualization user community
With hundreds of data virtualization users attending, you can discuss strategy and technology with the data virtualization's vanguard.
Data Virtualization Day 2013 registration is now open. This event is held at The New York Palace, a historic New York City landmark situated in Midtown Manhattan in New York City. Free for Cisco customers; sign up now, as seats are limited.
You can follow us on Twitter @CompositeSW.
Data Virtualization FAQ