Description
In this talk, I will explain how Quine works under the hood, discuss some of the interesting and brain-bending challenges we had to confront in order to create it, and show some uses cases to illustrate why it's important for modern data pipelines. Quine implements a property-graph data model on top of an asynchronous graph computational model. It's like Pregel with Actors. Each node is capable of performing arbitrary computation, so we can bake in some powerful capabilities deep in the graph; and then package it up for easy use into user-contributed "recipes" available in the Github repo. Quine is free and open to all, available at https://quine.io and actively supported by thatDot and the community.
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Instructor's Bio
Ryan Wright
founder and CEO, thatDot
Ryan Wright is the creator of Quine, and has been leading software teams focused on data infrastructure and data science for two decades. He has served as principal engineer, director of engineering, principal investigator on DARPA-funded research programs, and is currently the founder and CEO of thatDot—the company supporting Quine. Ryan particularly enjoys taking the philosophical ends of computer science—usually problems related to language, meaning, and data—and making them more practical.
Webinar
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ON-DEMAND WEBINAR: Introducing Quine: A Streaming Graph for Modern Data Pipelines
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Ai+ Training
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Webinar recording
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