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Slides: Data Lake, Virtual Database, or Data Hub – How to Choose?

By   /  October 6, 2016  /  No Comments

To view the On Demand recording of this presentation, click HERE>>

This webinar was sponsored by:


About the Webinar

Data integration is just plain hard and there is no magic bullet. That said, three new data integration techniques do ameliorate the misery, making silo-busting possible, if not trivial. The three approaches – data lakes, virtual databases (aka federated databases), and data hubs – are a boon to organizations big enough to have separate systems, separate lines of business, and redundant acquired or COTS data stores. Each approach has its place, but how do you make the right decision about which data silo integration approach to choose and when?

This webinar describes how you can use the key concepts of data Movement, Harmonization, and Indexing to determine what you are giving up or investing in, and make the best decision for your project.

About the Speaker

Damon Feldman, Ph.D.
Solutions Director, MarkLogic
DamonFeldman.jpgDamon Feldman is a passionate “Mark-Logician,” having been with the company for over 7 years as it has evolved into the company it is today. He has worked on or led some of the largest MarkLogic projects in terms of both volume of data and complexity of implementation, for customers ranging from the US Intelligence Community to HealthCare.gov to private insurance companies. Prior to joining MarkLogic, Damon held positions spanning product development for multiple startups, founding of one startup, consulting for a semantic technology company, and leading the architecture for the IMSMA humanitarian landmine remediation and tracking system. Damon holds a Bachelor’s Degree in Mathematics from the University of Chicago and a Ph.D. in Computer Science from Tulane University.

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