Thinking of Models as Graphs

The first step in any big data visualization and analysis process is to ingest your data. In the past, most developers thought of models as rows with attributes and references to other row identifiers. In keeping with that mentality, Perspectives pulled data from a relational database into its session-scoped model.

Relational social network data are shown in rows of elements and attributes.

Modern graph visualization developers tend to conceptualize data differently. While many users still pull data from an RDBMS, an increasing number use graph-based data storage and think about their data in graph-like ways.

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