“The Rise of Data Virtualization and the Fading Glory of ETL”
Data virtualization is not new. It has been around for many years in a number of different guises, including enterprise information integration and data federation. It is only recently, however, that the approach has gained the recognition and success it deserves.
The feature of data virtualization (DV) that frequently goes unnoticed lies in its ability to provide IT and business users with a single high-level view of data that may be spread throughout the enterprise. This capability can dramatically simplify access to data for less experienced users.
The other thing we like about DV is the ability to hide complexity from the data consumers by abstracting and federating the source data making data sources independent of the data consumers. This allows IT to swap-out source systems without having to rewrite any reports or visualizations.
Please join us as Phil Unger and Niaz Tadayyon from Cadeon present a case study of using Data Virtualization to stitch together data from multiple clouds together and maintain a single unified source of this data. In this discussion we will define what data virtualization is, compare and contrast to ETL and provide a demo and sample use case of the many benefits including speed to market, savings in time in money, and many more.
Details: The Bow Valley Square Conference Centre is located on the +30 level.
Coffee/Tea & Networking at 8AM
Talk starts at 8:15 Sharp!
Talk ends by 9:15 then Q&A
Our goal is to have you back to your office before 10AM.