Structured Data Overview: Tabular, Hierarchical, and Graph Data Formats
Understand the three structural families of data: tabular (CSV), hierarchical (JSON/YAML/XML), and graph (RDF/GraphML). Pick the right model.
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Tags: data, architecture, formats
Structured Data Overview: Tabular, Hierarchical, and Graph Data Formats Data has structure. Understanding what kind of structure your data has — and matching it to the right format — determines whether your storage, query, and exchange patterns are natural or constantly fighting the format. There are four primary data models: tabular (rows and columns), hierarchical (trees and nested documents), graph (nodes and edges), and columnar (columns stored together). Each has formats designed for it. Using the wrong model creates impedance mismatch that shows up as complex queries, awkward serialization code, or performance problems. Hierarchical Data: The Document Model Hierarchical data has tree structure. Records contain nested records, arrays of sub-records, and variable-length fields. Not…
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