The verdict is in and Data Virtualization (DV) is here to stay. This is driven by many factors such as the maturation of vendor technologies (e.g., heterogeneous join optimization, row level security, and high availability), increases in computing power, and a decrease in time end users are willing to wait for access to data. Over the past few years, companies like Informatica, Composite Software, Denodo Technologies, and IBM have led the industry charge to:
• Expand data virtualization reach into new industries
• Enable Agile Business Intelligence (BI) with data virtualization • Integrate with Cloud applications, such as Salesforce.com, Workday and MS Dynamics
• Integrate with Cloud data services, such as Windows Azure, LexisNexis, and data.gov
• Provide access to a larger variety of data, including video, email, and JSON documents, and other Big Data sources often stored in platforms such as Hadoop
• Shift from departmental to enterprise-wide deployments
Data Virtualization holds the promise of streamlining many of the challenges that have beleaguered data organizations for decades.
