Data Integration
Data integration describes processes, tools and concepts to combine heterogeneous data sources into consistent, usable views. It covers extraction, transformation, harmonization and consolidation for analytics, operations and decision support. Goals include semantic coherence, improved data quality and reliable access points across architectures and governance models.
This block bundles baseline information, context, and relations as a neutral reference in the model.
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 in the model
Structural placement
Where this block lives in the structure.
No structure path available.
Relations
Connected blocks
Directly linked content elements.