The Neo4j graph database is all about relationships. It allows to model domains of connected data easily. Querying using a imperative API is cumbersome and bloated. So the Neo Technology team decided to develop a query language more suited to query graph data.

Taking inspiration from SQL, SparQL and others and using Scala to implement it turned out to be a good decision. The parser-combinator library, functional composition and lazy evaluation helped us to easily go ahead. Join us to learn the journey of its inception to a being usable tool.

Speaker: Michael Hunger, Community Lead and Head of Spring Integration, Neo Technology

Michael has been passionate about software development since his childhood days in East Germany. He is particularly interested in the people who develop software, software craftsmanship, programming languages, and improving code. While he likes coaching and in-project development as an independent consultant ("better software development evangelist" - http://jexp.de), he really enjoys the numerous other projects in his life.