The holy grail for data integration has been to achieve a complete view of enterprise data across disparate data environments. However, with unstructured and structured data housed across operational and analytical systems, and a range of technologies to handle it all, including Hadoop, NoSQL, and relational database management systems, the danger is that organizations are moving further than ever from that goal.
One approach that has come to the fore to overcome data silos and revive the original goal of the data warehouse is data virtualization. With this technology, data from across the enterprise is abstracted into a common service fabric.
It addresses the organizations’ need to achieve a comprehensive view of their data, while avoiding the need to rip and replace physical systems already in place.
With the rise of big data, new client devices, predictive analytics, and self-service business intelligence, the benefits of data virtualization are seen in the more rapid access that users gain to reports and insights.
Here are the winners of the 2014 DBTA Readers' Choice Awards for Best Data Virtualization Solution:
Winner: Oracle Database 12c Multitenant
Winners' Circle by Jeb Dasteel, Senior VP & Chief Customer Officer
Unleash Innovation by Simplifying IT
Oracle is shifting the complexity from IT, moving it out of the enterprise byengine ering hardware and software to work together—in the cloud and in the data center. By eliminating complexity and simplifying IT, Oracle enables its customers—400,000 of them in more than 145 countries around the world—to accelerate innovation and create added value for their customers ... read on.
IBM InfoSphere Federation Server
Red Hat JBoss Data Virtualization