Can you explain how graph analytics works?
Sure! Graph analytics involves analyzing data structured as graphs, which consist of nodes and edges.
What are some common applications of graph analytics?
Common applications include social network analysis, fraud detection, and recommendation systems.
How does it differ from traditional data analysis?
Unlike traditional analysis, which often uses tables, graph analytics focuses on relationships and connections between data points.
Can you give an example of a tool used for graph analytics?
Certainly! Tools like Neo4j and Apache Spark GraphX are popular for performing graph analytics.
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