Data Processing
Data processing describes collecting, validating, transforming and organizing raw data into usable information. It includes batch and stream processing, ETL/ELT, enrichment, and data quality and governance checks. The goal is reliable, scalable delivery of consistent data for analytics, system integration and operational workflows, considering privacy, monitoring and cost constraints.
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.