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Concept#Data#Architecture

Data Storage

Data storage covers concepts, technologies and practices for persistent retention of digital information. It includes storage types (block, file, object), consistency and redundancy strategies, access patterns, backup, replication, scalability and cost considerations for on-premises, distributed or cloud-based environments. Robust storage architectures balance performance, availability and cost and support data integrity.

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 level
Enterprise
Organizational maturity
Intermediate
Impact area
Technical
Decision
Decision type
Architectural
Value stream stage
Build
Assessment
Complexity
Medium
Maturity
Established
Cognitive load
Medium

Context in the model

Structural placement

Where this block lives in the structure.

No structure path available.

Relations

Connected blocks

Directly linked content elements.