Data Skeptic Customizing a Graph Solution
Dec 16, 2024
Dave Bechberger, Principal Graph Architect at AWS and author of "Graph Databases in Action," shares his expertise on graph databases. He highlights their unique applications in fraud detection and the importance of analyzing complex networks. The discussion covers key algorithms like PageRank and community detection, offering insights into when organizations should transition from relational databases to graph solutions. Dave also addresses the challenges of skill shortages in the graph database field and shares practical strategies for successful implementation.
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GraphDBs for Exploration
- Graph databases excel in data exploration, revealing unknown unknowns.
- Exploring connections and patterns is their strength, unlike scenario-driven analysis.
Querying Full Graph Datasets
- Query the full dataset when working with graphs.
- Random sampling is ineffective due to the interconnected nature of graph data.
Starting with Community Detection
- Start graph exploration with community detection and centrality measures.
- This best practice helps identify interesting clusters and key nodes, especially in large networks.
