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Connecting With Data: Graph Databases
Applications are built around domain and business concepts. As developers, we model these concepts and their relationships all the time in our heads, on whiteboards, and in code. Then we perform mental gymnastics translating objects and relationships into tables, rows and columns. Wouldn't it be better if our data storage thought the same way we do? This session describes a few types of problems that relational databases and many contemporary NOSQL solutions have trouble modeling, and how graph databases are a solution to those problems. Along the way, we will be introduced to the graph database Neo4j, will see how to interact with it via the Cypher query language, and learn how to start modeling our own application data as graphs.
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