In spring 2016 the first press reports regarding the “panama papers” were released. With almost 3TB of raw data this was by far the largest leak of data worldwide. This talk gives some technical insights who the ICIJ (International Consortium Of Investigate Journalists) worked with that amount of data to …
In this session you will see how in many ways dating sites are getting better performance and more value out of their data than financial institutions by using a graph database.
This talk reviews the features in Groovy which make it easy to work with databases. It reviews the features of Groovy SQL including Groovy’s LINQ-like lazy evaluation technology called datasets. In addition, it looks at working with a couple of NoSQL databases: MongoDB using GMongo and Neo4J using it’s Java …
Graphs are one of the best abstractions we have for modeling connectedness. Graph databases, in turn, are one of the best tools at our disposal for modeling, storing and querying complex, densely-connected data. Today, graphs and graph databases are helping solve some of the world’s most challenging data problems, in …
Three NOSQL techniques are presented in this talk: RavenDB, Neo4j and Riak. Each speaker has 10 minutes to show you why and how NOSQL can be used. It is not difficult. It is not frightening. It’s fun. After this session, you know more about which technique you should test and …
Spring Data Neo4j in its 2.x version is a mature implementation of an object graph mapping framework, that both closely integrates with the Spring Framework and also offers unique modeling and querying opportunities by having chosen the property graph data model. This talk presents how several Neo Technology customers already …
