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Getting Graphic: Using Neo4j & Spring Data to extract maximum value from your data

Abstract

Many of us have a great deal of experience working with traditional relational databases, and with so-called NoSQL databases (both document stores & key/value pairs) as well. Graph databases provide capabilities that we may not have fully leveraged…​yet.

Come to this session to learn how to exploit the power of Neo4j quickly and powerfully using Spring Boot and Spring Data. The presenters will explain the types of data that benefit most from a graph database, then live-code a system of Spring Boot+Spring Data microservices to demonstrate how to really USE it.

Learn how to elevate the relationships among your data to the same level as your data and tap the full power of Spring Data & Neo4j!

Developers & Presenters

Jennifer Reif (@jmhreif) 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.

Mark Heckler is a software developer & Principal Cloud Advocate for Java/JVM Languages at Microsoft, conference speaker, Java Champion, and Kotlin Developer Expert focused on developing innovative production-ready software at velocity for cloud and edge computing platforms. He has worked with key players in numerous industries and public sector organizations to develop and deliver critical capabilities on time and on budget. Mark is an open source contributor and author of Spring Boot: Up and Running (https://bit.ly/springbootbook) and can be found on Twitter @mkheck.