02 October 2013, FINKI
Neo4j from the command line perspective
The social graph of Facebook is the most popular application for a graph database. In addition, there are far more exciting applications, such as spatial data, financial trail, indexing, and others. If you combine different graphs, you are able to evaluate those together with the algorithms known from the graph theory. As a graph, a domain can often be easier and more natural designed. This talk introduces the topic of graph databases and shows how to implement mediated models with large, complex and highly connected data with Neo4j. Subsequently, topics like querying, indexing, import / export are considered as well.
After the introduction, everyone will be able to do the first (guided) steps with Neo4j and the Cypher query language.
Do not forget your own notebook!?
About the speaker
Senior Software Consultant | Partner at Swiftmind GmbH
Patrick Baumgartner is co-founder of Swiftmind, a Swiss software company that helps companies maximize their software product's potential by consulting them on best practices for software architecture, design, implementation, and testing, with a focus on enterprise Java applications, the Spring Framework, OSGi as well as agile project methodologies and software engineering best practices.
As an experienced senior software architect, Patrick has worked on projects in the financial, government, and industrial sectors. At Swiftmind he helps customers to combine new methodologies and technologies to gain more productivity and create modular, portable and testable applications.
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