Loading…
MinneBOS has ended
Presented by MinneAnalytics. Hosted by Boston University Questrom School of Business.
Thursday, August 23 • 9:30am - 10:15am
Using Data Virtualization to Feed Your Analytical and ML Models

Log in to save this to your schedule and see who's attending!

Feedback form is now closed.
We have data everywhere…in databases and data warehouses, in files and spreadsheets, in a data lake and on servers, in the cloud and on-premise. Finding the data that you need can be difficult in a modern data ecosystem and cloud adoption can make this downright challenging. Data Virtualization is a technology that allows users to find and access the data that they need without having to replicate it into a consolidated central repository, such as a data lake. Data Virtualization provides a semantic layer on top of existing your data stores - whether on-premise or in the cloud - that allows users to find and access the data that they need, in real-time, as and how they need it. This session explains how Data Virtualization achieves this promise of data accessibility for everyone - self-service with guard rails - even with the largest of analytical data sets.

Speakers
avatar for Paul Moxon

Paul Moxon

VP of Data Architectures and Chief Evangelist, Denodo Technologies


Thursday August 23, 2018 9:30am - 10:15am
Room 404 Boston University Questrom School of Business, 595 Commonwealth Avenue Boston

Attendees (56)