SQL and MapReduce databases are great—when your data is well-partitioned and the same queries are run regularly. What happens when we don't know what we will want to know in the future? Graph databases are used in everything from Facebook to business intelligence apps. With nodes, edges, and properties to represent and store data, graph databases give us the opportunity to define the landscape as we learn more about our data. Using graph databases we can start at a location and ask for a description of where we are. This allows us to discover pathways and interesting data points that we might not otherwise have been aware of. Andy Palmer explains how you can discover the data landscape and bend it to your will with exploratory reports. Starting with the fundamentals of graph databases—using Neo4J as the tool—your skills with graph databases will increase through the day until you are able to explore and discover new gems of information for yourself.
Bring your laptop and try a big data tool.