Note: This event will be on Livestream.
https://livestream.com/accounts/23925505/events/8324479
In this connected world we live in, traditional data stores often make it rather difficult to find valuable relationships in your data. By making relationships first-class citizens in the data model (and storing your data exactly as youd whiteboard it), contextualizing a set of data becomes incredibly simple. In this session, an engineer from Neo4j (http://www.neo4j.com/), the worlds leading graph database, will walk through what a graph database is, & how it can transform your applications. We will learn how to create, query, & display data & gather the tools needed to use the graph. We will also look at how graphs were used in the Panama Papers/Paradise Papers data & expose criminal & suspicious activity. Find out how to explore the data for yourself, too! Join us to learn how graph databases were used to identify key names in the biggest leaks & the largest cross-border investigation in journalism history with over 13.4 million documents!
Bio:
Jennifer Reif is a Developer Relations Engineer at Neo4j, conference speaker, blogger, & an avid developer & problem-solver. She holds a Masters degree in Computer Management & Information Systems & has worked with large enterprises to organize & make sense of widespread data assets & leverage them for maximum business value. She has worked with a variety of commercial & open source tools & enjoys learning new technologies, sometimes on a daily basis! Her passion is finding ways to organize chaos & deliver software more effectively.
This event is partnered with the GraphDB Chicago https://www.meetup.com/windy-city-graphdb/
About Metis
Metis (thisismetis.com) accelerates careers in data science by providing full-time immersive bootcamps, evening part-time professional development courses, online resources, & corporate programs based in Seattle, New York, Chicago, & San Francisco.
Brought to you by Kaplan, Metis focuses primarily on Python, machine learning, data visualization, deep learning, big data processing, statistical foundations, & more. Students & alumni of the bootcamp program receive continuous support from our career advisors, empowering them to pursue a successful career in the fast-growing field of data science.
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