Graph Databases - Only a Tool or a Data Store?
Salle A105, 10:30 - 11:15
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Big Data
Graph databases provide a modern and efficient solution to store graph-oriented data structures naturally. Many structured and associated data are stored schema free in vertices (nodes) and edges (relations) without using an index to query. With the known algorithms from graph theory, we can succeed to answer our questions on the connected data.
This talk provides an introduction to the topic of graph databases and compares them with relational databases. Issues such as data modelling, querying, data import and typical use cases are considered and compared in detail. In addition, issues such as the integration into the system environment, etc. are covered as well.
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Level: Shu (débutant), Ha (intermédiaire)
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Topic: Graph Database
About speaker
Patrick Baumgartner
Software Craftsman, 42Talents GmbH
Patrick Baumgartner works as a passionate software craftsman at 42talents and builds software with Java/JEE, Spring Framework, OSGi, NoSQL databases and other open source technologies. Since he got in touch with Neo4j a few years ago, he sees the whole world as one big connected graph and loves to talk about it. Patrick is a host of the Neo4j Zurich and the Software Craftsmanship Zurich Meetup group and is engaged in the agile community in Switzerland. Twitter: @patbaumgartner, @42talents