this covers introducing connected data and how it' related to graphs and graph databases learning how graph databases differ from relational databases discovering the graph database neo applying the data science process to recommender engine project with the graph database neo where on one hand we're producing data at mass scaleprompting the likes of googleamazonand facebook to come up with intelligent ways to deal with thison the other hand we're faced with data that' becoming more interconnected than ever graphs and networks are pervasive in our lives by presenting several motivating exampleswe hope to teach the reader how to recognize graph problem when it reveals itself in this we'll look at how to leverage those connections for all they're worth using graph databaseand demonstrate how to use neo ja popular graph database