Investigating Complex Relationships in Graphs

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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 you’d whiteboard it), contextualizing a set of data becomes incredibly simple. In this session, an engineer from Neo4j (http://www.neo4j.com/), the world’s leading graph database, will walk through what a graph database is, and how it can transform your applications. We will learn how to create, query, and display data and gather the tools needed to use the graph. We will also look at how graphs were used in the Panama Papers/Paradise Papers data and expose criminal and 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 and 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, and an avid developer and problem-solver. She holds a Master’s degree in Computer Management and Information Systems and has worked with large enterprises to organize and make sense of widespread data assets and leverage them for maximum business value. She has worked with a variety of commercial and open source tools and enjoys learning new technologies, sometimes on a daily basis! Her passion is finding ways to organize chaos and deliver software more effectively.

Schedule:
6:00pm - 6:30pm Networking
6:30pm - 7:30pm Talk
7:30pm - 8:00pm Networking

This event is partnered with the Metis: Chicago Data Science meetup https://www.meetup.com/Metis-Chicago-Data-Science/

About Metis

Metis (thisismetis.com) accelerates careers in data science by providing full-time immersive bootcamps, evening part-time professional development courses, online resources, and corporate programs based in Seattle, New York, Chicago, and San Francisco.

Brought to you by Kaplan, Metis focuses primarily on Python, machine learning, data visualization, deep learning, big data processing, statistical foundations, and more. Students and 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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