Concept#Data#Analytics
Big Data
Big Data refers to practices, technologies, and organizational approaches for processing very large, heterogeneous, and rapidly growing datasets. It covers storage, processing, integration and analysis to extract actionable insights. Emphasis is on scalability, data quality, governance, privacy, infrastructure requirements and operational cost.
This block bundles baseline information, context, and relations as a neutral reference in the model.
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Definition · Framing · Trade-offs · Examples
What is this view?
This page provides a neutral starting point with core facts, structure context, and immediate relations—independent of learning or decision paths.
Baseline data
Context
Organizational leveli
Enterprise
Organizational maturityi
Intermediate
Impact areai
Technical
Decision
Decision typei
Architectural
Value stream stagei
Build
Assessment
Complexityi
High
Maturityi
Established
Cognitive loadi
High
Context in the model
Structural placement
Where this block lives in the structure.
No structure path available.
Relations
Connected blocks
Directly linked content elements.
Dependency · Depends on
(1)
Process · Enables
(1)