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Insufficient Facts Always Invite Danger: Combat them with a Logical Model

Insufficient Facts Always Invite Danger: Combat Them with a Logical Model While understanding the context of data is key, it's important to remember there is no universal context. What makes sense in one case may not in another. We see this often in MDM scenarios; we can't agree on the definition of a Customer and the process grinds to a halt. Not only does a logical data model let us better represent our data, it provides us the flexibility to look at the data from a different perspective and bring more agility to how we leverage data in the enterprise
May 7th 2020, 1:20pm EST

Michael Grove



Michael is VP of Engineering and Co-Founder at Stardog, where he manages their world-class engineering organization and helps shape the direction of the Stardog Knowledge Graph. He has over 15 years of experience in the AI, Semantic Technology, and Graph Database fields. Prior to Stardog, Michael performed research on the use of graph-based technologies in pervasive computing environments while at Fujitsu Labs of America. Michael is a graduate of the University of Maryland in Computer Science and an alumnus of its MINDLAB, a seminal research group in Semantic Web technology.

Lightening talks from the Main Stage along with speaker Q&A sessions