Speakers: Ryan Thompson, Director, Data Virtualization and Architecture at Prologis
Data science requires vast amounts of data. And that too from multiple sources. Data virtualization integrates the data across these disparate sources and provides a unified view of the data to data science algorithms. With it, data scientists can deliver important answers to business questions that enable the business users to perform their functions efficiently.
In this session, you will learn: