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Data Engineering

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Folder: 04-data-engineering/atoms

31 items under this folder.

Jan 03, 2026
Data Governance
Jan 03, 2026
Data Provenance
Jan 03, 2026
The Data Quality Definition Consensus Gap
Jan 03, 2026
Data Quality Dimensions Consensus Gap
Jan 03, 2026
Research Gaps in Data Quality Definition
Jan 03, 2026
Fitness for Use
Jan 03, 2026
The Five Most-Cited Data Quality Dimensions
Jan 03, 2026
Intrinsic vs. Contextual Data Quality
Jan 03, 2026
KLEMS: The Production Input Framework
Jan 03, 2026
Provenance by Design
Jan 03, 2026
Public Domain as Lowest Risk Data
Jan 03, 2026
Requirements vs. Attributes in Quality Definitions
Jan 03, 2026
SIC Classifies Organizations, NAICS Classifies Establishments
Jan 03, 2026
Standard Industrial Classification (SIC)
Jan 03, 2026
Time Series Continuity as Governance Constraint
Jan 03, 2026
The Vocabulary Problem in Data Quality
Jan 02, 2026
Data Cascade Prevalence
Jan 02, 2026
Data Cascades
Jan 02, 2026
Data Dependencies Cost More Than Code Dependencies
Jan 02, 2026
Data Versioning Complexity
Jan 02, 2026
56% of Classification Types Lack Training Data
Jan 02, 2026
Economy of Force
Jan 02, 2026
Goodness-of-Fit vs. Goodness-of-Data
Jan 02, 2026
Schema Stability as Ontology Advantage
Jan 02, 2026
Underutilized Data Dependencies
Jan 02, 2026
Unstable Data Dependencies
Jan 01, 2026
Three-Tier License Framework for Open Source Data
Jan 01, 2026
The PII Independence Assumption
Jan 01, 2026
Reference Data Types and Their AI Value
Jan 01, 2026
The ShareAlike Derivative Work Ambiguity
Jan 01, 2026
Text Is More Tractable Than Video or Audio

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