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DESCRIPTION:Click for Latest Location Information: http://edw2014.dataversity.net/sessionPop.cfm?confid=79&proposalid=6357\nWith the growing number of disparate data sources and the shrinking availability of niche technical skill sets to manage, let alone integrate these data sources, trouble is in the forseeable future - especially when it comes to big data.\nIn this session we will review case studies of how data virtualization creates a mid-tier data access layer with virtual views that allow for significantly faster data provisioning and data preparation for analytic environments. We will also look at the centralized security that allows for user/role based access control and  the data masking features that allow for the legal and compliant use of PII (Personally Identifying Information)in analytics. \nAt the end of the session you will be able to identify the key business issues that data virtualization will solve, help you quantify how much time, money and frustration wou will save, and how to make the pitch to your executives.\nWhat you will learn:\nKey concepts and terms used in data virtualization environments\nHow data virtualization differs from and/or augments other data management initiatives\nBest practices for implementing data virtualization\nBenefits and challenges of virtualizing your data environment\nMaking the executive pitch
DTSTART:20140429T141500
SUMMARY:Data Virtualization: Changing the Landscape of IT Without Moving Mountains
DTEND:20140429T144459
LOCATION: See Description
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