Terminology

2225 terms, tools, patterns and metrics an architect is expected to use precisely. Each one gets a short explanation of what it is, and — where it matters — what it is commonly confused with. Search filters as you type; the column headers sort.

All areas2225 Architecture Fundamentals77 Distributed Systems107 Data Architecture110 Cloud Architecture94 Networking88 API & Integration Architecture82 Reliability & Resilience75 Observability70 Performance & Capacity Engineering72 Security Architecture86 Cost Architecture & FinOps71 Business Architecture67 Architecture Communication67 Enterprise Architecture66 Legacy Modernization71 AI-Era Architecture74 Software Architecture & Engineering71 Architecture Patterns71 Architecture Decision-Making63 The Architect's Meta-Skills61 Delivery & Release Engineering66 Platform Engineering & Developer Experience70 Testing & Quality Architecture66 Data Platform Architecture69 Streaming & Real-Time Data69 Data Governance & Semantics74 Frontend & Experience Architecture66 Edge, Mobile & IoT68 Regulatory & Data Protection Architecture65 Assurance, Audit & Model Risk69

Kind Any concept801 practice736 pattern377 metric127 case-study77 tool62 protocol45

4 terms shown.

Term	Kind	Topic	What it is
Classification Propagation Label Inheritance, Lineage-Aware Classification, Derived Sensitivity	practice	Sensitivity Labelling	Carrying a column's sensitivity classification through every derived table, view and export, so that copying restricted data into an aggregate does not silently strip its protection.
Classification Propagation Labels Travelling Through Lineage, Derived-Data Sensitivity	practice	Sensitivity Labelling	Carrying a sensitivity label through every derivation, so a restricted column copied into an aggregate, a training set or an export remains subject to its controls.
Label Inheritance Classification Propagation, Sensitivity Inheritance	practice	Sensitivity Labelling	Automatically assigning a derived dataset the highest sensitivity of its inputs, so that aggregates and transformations do not silently escape the controls that applied to their sources.
Sensitivity Labelling Data Classification Tagging	practice	Sensitivity Labelling	Attaching a machine-readable classification to data at the column or asset level, so that downstream controls can be applied automatically.