Graph Databases in Action teaches you everything you need to know to begin building and running applications powered by graph databases. Right off the bat, seasoned graph database experts and authors Dave Bechberger and Josh Perryman introduce you to just enough graph theory, the graph database ecosystem, and a variety of datastores. You’ll also explore modelling basics in action with real-world examples, then go hands-on with querying, coding traversals, parsing results, and other essential tasks as you build your own graph-backed social network app complete with a recommendation engine! With valuable firsthand experience under your belt, you’re ready for advanced concepts including query tuning, data model tuning, evolving your graphs, and pitfalls and anti-patterns like supernodes, hidden entities, and anemic edges. All examples are presented in the open source Apache TinkerPop framework and the Gremlin language, and almost all concepts and constructs are compatible with Cypher/openCypher databases such as Neo4j. With this comprehensive guide, you’ll be building graph-powered applications that dramatically increase the value of data—as well as your professional value to the companies savvy enough to use them! what's inside Graph database fundamentals An overview of the graph database ecosystem Relational vs. graph database modelling Querying graphs using Gremlin Real-world common graph use cases Basic graph algorithms A hands-on graph-backed application project Performance tuning Pitfalls and anti-patterns Graph analytics