Understanding the relationships in graph database theory allows us to work with the new 'shape' of data itself. Businesspeople like graphs. C-suite executives are fond of pie charts, Venn diagrams, ...
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If you’ve spent any significant time looking at data visualizations–or in a STEM classroom–you’ve probably had this maxim drilled into your head: Correlation does not imply causation. In plain English ...
Victor Lee is director of product management at TigerGraph. Graph databases excel at answering complex questions about relationships in large data sets. But they hit a wall—in terms of both ...
eWEEK content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More. Redwood City, Calif.-based TigerGraph, which bills itself ...
Graph databases explicitly express the connections between nodes, and are more efficient at the analysis of networks (computer, human, geographic, or otherwise) than relational databases. There has ...
Bar graphs seem like one of the simplest ways to represent data. Many people assume that the longer the bar, the bigger the number it represents. Sometimes bar graphs represent an average not a total ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
The degree to which someone trusts the information depicted in a chart can depend on their assumptions about who made the ...