Chief Data Architect
This session will include a moderated Q&A featuring questions from the live audience.
Within any data-driven university, the management, security, and persistence of the "data cocktail"–the collection of diverse and disparate information–just makes us salty. Questions abound, such as: "How can I quickly mix on-premises student data with cloud-based learning metrics to make effective decisions?" or "How can I stir together Excel files across departments to improve data quality?" Fortunately, there is an answer—using a growing technology that should be in every data toolbox.
Drop on in and mix it up with Dan Young, chief data architect of Indiana University and self-proclaimed data mixologist, as he pours over the IU implementation of the data virtualization (DV) platform used to support critical data and analytics initiatives. Securely blending diverse data sources, DV has opened many new recipes for curating, integrating, and publishing information for thirsty developers and self-service users alike. No matter how you take your data and analysis, DV will neatly deliver—shaken or stirred.