Neo4j Bloom Tips and Tricks for Domain Knowledge Experts
Blog post from Neo4j
Dr. Lju Lazarevic's presentation at GraphConnect New York City in 2018 delves into tips and tricks for using Neo4j Bloom, a user-friendly data visualization tool, especially beneficial for domain experts without SQL or Cypher experience. Emphasizing the significance of a well-structured data model, Lazarevic explains that a clear representation of domain-specific entities and their relationships enhances the Bloom experience. The talk introduces six generic Bloom patterns—specific path, shortest paths, paths between nodes, exploring depth, commonality, and extended commonality—that facilitate data exploration and visualization without requiring Cypher queries. These patterns help users uncover insights, such as the shortest connections between entities or commonalities in data, by leveraging Bloom's intuitive interface and natural language-like query capabilities. Through examples like Olympic data, Lazarevic illustrates how Bloom's patterns can be used to reveal connections and dependencies within datasets, showcasing the tool's capacity to fill gaps in relationships and provide comprehensive visual insights.