Data Virtualization

Kevin Hall


Easily, confidently access any amount of data, from anywhere. Covered heterogeneous, ubiquitous data, challenges bringing it together in dynamic environments, applicability to analytics and data science, data warehousing (as insufficient), an overview of IBM Data Virtualization, querying hybrid sources with ease, working in a distributed environment with our computational mesh, and schema folding. Ended with discussion questions.

This lecture was given virtual to members of "Global Leadership Forum", and organization on university campuses to provide international students and scholars an opportunity to meet and interact with marketplace leaders from the community. Members represented 5 universities, various industry leaders, and some of my IBM mentees.


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Requested 3 times

Lecture languages



AI / AutomationCloud & DataData Science / Machine LearningSecurity & Privacy

Duration options

1 hour

Travel/delivery options

In-countryNo travel required: On DemandRemote via video conference


United States

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