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Thursday, August 23 • 9:30am - 10:15am
Using Data Virtualization to Feed Your Analytical and ML Models

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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.

avatar for Paul Moxon

Paul Moxon

VP of Data Architectures and Chief Evangelist, Denodo Technologies

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