This event will be Livestreamed here:
This event is being hosted as part of GlobalGraphCelebrationDay.com.
Graph 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 and 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 and 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, and in looking for patterns buried in multi-party relationships. We will discuss and demonstrate some of the more sophisticated graph-based visualizations and algorithms that are now possible.
Clark Richey (https://www.linkedin.com/in/clark-richey-6b737) has over 20 years’ experience in architecting, designing, and implementing large scale systems, primarily for US Defense and 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 and master's level at UMBC and Loyola University, respectively. Clark is a founding Java Champion and loves sharing his passion for computer science.
Weidong Yang (https://www.linkedin.com/in/yangweidong) is the founder and 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 and 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 and researcher for advanced metrology tools. Weidong is also the founder and director of Kinetech Arts, a non-profit creative collective that bridges dance, science and interactive technologies. He has been credited with 10 US patents.
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