Big Data
Big Data describes data whose scale, arrival rate, structural diversity, and trust characteristics require explicit processing, storage, and governance choices.
The current entry and its direct relationships are prominent; every other catalog technology and concept remains visible as muted background context.
8 directly connected nodes · 13 typed relationships · 210 muted catalog entries
List direct catalog relationships
- CatalogObservability Concepts
- HierarchyObservability Data Concepts
- HierarchyVolume
- HierarchyVelocity
- HierarchyVariety
- HierarchyVeracity
- RelatedDatadog Toto ML Model
- RelatedApache Kafka
- RelatedObservability Data Concepts
- RelatedVolume
- RelatedVelocity
- RelatedVariety
- RelatedVeracity
Definition
Big Data describes data whose scale, arrival rate, structural diversity, and trust characteristics require explicit processing, storage, and governance choices. It is maintained as an Observability Concept so tools can reference a stable vocabulary without treating the concept itself as a product [1].
Catalog use
This page is the canonical navigation target for the Big Data catalog value. Product profiles may declare support for the concept, but that declaration does not by itself establish implementation depth, quality, or commercial availability.
Source record
Bibliography
IBM, “What is Big Data?.” [Online]. Available: https://www.ibm.com/think/topics/big-data. [Accessed: Aug. 20, 2026].
Known limits
Unresolved unknowns
- Implementations and product coverage vary; this page defines catalog scope rather than certifying a product capability.
Public review
Discuss and correct
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