Illustrating Graphs Visually through Neo4j Bloom
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The document provides an overview of Neo4j Bloom, a tool for visual graph exploration and collaboration in enterprise graph data science. It highlights features such as customer segmentation, item recommendations, and intuitive search capabilities that facilitate data analysis and communication among teams. Additionally, it mentions resources for access to Neo4j tools and data science libraries, including demo videos and download links.
Illustrating Graphs Visually through Neo4j Bloom
- 2. • What is Bloom • DEMO • Product Features • Q&A #GraphDataScience #Neo4j
- 3. Thinking and Analysis Interacting and Development Communication and Reporting
- 4. for Enterprise Graph Data Science Neo4j Graph Data Science Library Scalable Graph Algorithms & Analytics Workspace Native Graph Creation & Persistence Neo4j Database Visual Graph Exploration & Prototyping Neo4j Bloom Practical Integrated Intuitive
- 5. Explore & Collaborate with Neo4j Bloom Explore Graphs Visually Prototype Concepts Faster Collaborate Across Teams
- 6. Search with type-ahead suggestions Flexible Color, Size and Icon schemes Visualize, Explore and Discover Pan, Zoom and Select Property Browser and editor
- 8. • Real data from online retailer in the UK with all-occasion items • 28K nodes and 1.1M relationships • “Data mining for the online retail industry” by D. Chen et al • Neo4j 4.0 and Graph Data Science Library 1.2
- 9. 1. Customer segmentation a. Break down the graph into customers with similar buying patterns i. 2. Item recommendations a. What item should we recommend to different customer segments? i. 3. Explore and answer our business questions a. Recommendation for a person that buys something specific? b. What to promote to drive sales in a category?
- 11. Graph Perspectives Manage visibility and reduce clutter, revealing the right information to the right users. • Categorize raw entities • Selective relationships • Selective property visibility • Hide uncategorized data • Role-based perspective sharing
- 12. Graph Search Ask Bloom what you’re looking for using idiomatic phrases based on the graph structure and content. • Search everywhere • Find graph patterns • Create search phrases
- 13. Flexible colors and sizes Style using properties Expand by relationship or neighbor type Specify parameter types Bloom Everywhere! 4.0 Free on Desktop! Export csv data
- 14. Easily Explore Quickly Prototype Simplify Collaboration ● Ad-hoc exploration and discovery ● Low dependency on others ● Easy point-and-click option ● Intuitive “ah-ha” moments ● Off-the-shelf ● Graph visualization that’s simple to get started ● Easy to demo concepts to analysts & IT managers ● Business perspective of data ● Common visual language among teams ● Easy to explain results to other teams/business
- 15. for Enterprise Graph Data Science Neo4j Graph Data Science Library Scalable Graph Algorithms & Analytics Workspace Native Graph Creation & Persistence Neo4j Database Visual Graph Exploration & Prototyping Neo4j Bloom Practical Integrated Intuitive
- 16. Neo4j Sandbox - a Neo4j interactive experience ● Limited time cloud instance ● GDS Library and Bloom enabled ● Links to Bloom videos and docs ● Explore different datasets https://neo4j.com/bloom/ Neo4j Desktop - a Neo4j developer’s tool chest ● Install on your local machine ● Includes developer license for Neo4j Enterprise Edition ● Bundled with Desktop and sample dataset included ● Connect to any local or remote database https://neo4j.com/download/
- 17. Thank You & Questions - Videos, papers, links neo4j.com/bloom/ - Free with Desktop https://neo4j.com/download/ - GDS+Bloom Sandbox https://sandbox.neo4j.com/ ?usecase=graph-data-science Resources