This event will be Livestreamed here:https://livestream.com/accounts/23925505/events/8616056
This event is being hosted as part of GlobalGraphCelebrationDay.com.
AbstractGraph databases are core big data technology. This adoption requires mainstream business tointegrate with other business technologies, such as Business Intelligence. We explain why businesses are moving to graph to solve complex data problems & then explain why existing BI solutions fall short when paired with graph technology. View a preview of what the future of graph-based BI looks like.
This talk walks through the adoption of graph databases to solve complex business problems through the required evolution of business intelligence tools to support this new technology.
The talk will review the benefits of graph database vs relational database for data science & businesses use cases, e.g. Customer 360, law enforcement - - We will show how the graph database is essentially an enhanced relational database where relationships are expressed directly as edges, rather than indirectly as joins. We examine how this structure gives rise to major benefits when dealing with very large datasets, & in looking for patterns buried in multi-party relationships. We will discuss & demonstrate some of the more sophisticated graph-based visualizations & algorithms that are now possible.
SPEAKER BIOSClark Richey (https://www.linkedin.com/in/clark-richey-6b737) has over 20 years experience in architecting, designing, & implementing large scale systems, primarily for US Defense & Intelligence agencies. Prior to co-founding FactGem, where he currently works as the CTO, Clark was the Director of Public Sector Sales Engineering for MarkLogic. Clark has also taught computer science at the bachelor's & master's level at UMBC & Loyola University, respectively. Clark is a founding Java Champion & loves sharing his passion for computer science.
Weidong Yang (https://www.linkedin.com/in/yangweidong) is the founder & CEO of Kineviz, a San Francisco-based data visualization company with the mission of solving difficult big data problem with interactive visual analytics. He received his Ph. D in Physics & Master in Computer Science. Prior to starting Kineviz, he conducted research on quantum dots as a postdoctoral fellow at UC, Berkeley, followed by a decade in the semiconductor industry as both product manager & researcher for advanced metrology tools. Weidong is also the founder & director of Kinetech Arts, a non-profit creative collective that bridges dance, science & interactive technologies. He has been credited with 10 US patents.
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