Businesses are caught between two trends that challenge their ability to deliver information to critical apps and business analytics with speed and flexibility – On one side, the explosion in data volume and diversity of data sources, and on the other, the increase in agile business analytics and Web and mobile applications requiring unified data access on demand. Traditional data integration such as ETL that create redundant data copies in batch windows have become inflexible and expensive.  

Forrester Research has tracked the emergence of Data Virtualization as a mainstream data integration technique for addressing these challenges now and into the future in the recently released "The Forrester Wave™: Data Virtualization, Q1 2012" report.

Our guest speaker Mike Gilpin, co-author of the Forrester Wave report explains how Data Virtualization Layers add new capabilities to speed the delivery of information to your critical new applications and business intelligence initiatives: Data access that liberates diverse structured, unstructured and Big data sources from silos; Canonical data views; Data services published in old and new formats like REST; Optimized performance that minimizes replication; And much more.

Attend this webinar and learn:

• What key trends that have led to challenges in speedy information delivery
• How Data Virtualization layers address these challenges
• What has made Data Virtualization mainstream? Why now?
• What to look for in a data virtualization platform? Key differentiation criteria from Forrester Wave 2012: Data Virtualization
• Forrester-recommended best practices for adoption of data virtualization and data services

Register today! Tell your colleagues!