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

25 terms shown.

Term	Kind	Topic	What it is
Data Access Model	concept	Data Access Models	The scheme by which permission to data is granted, whether by role, by attribute, by purpose, or by request with expiry.
Data Mesh Federated Governance	concept	Data Governance & Semantics	Central agreement on the rules that must be global, with domain autonomy over everything else.
Data Mesh in Practice	concept	Data Mesh	Decentralising data ownership to the domains that produce it, with a self-serve platform and federated governance — an organisational change more than a technical one.
Data Product Published Dataset, Owned Data Asset, Analytical Interface	concept	Data Products	A dataset published deliberately as an interface with a named owner, documented semantics, quality guarantees and a change policy - as distinct from a table that consumers happen to be able to reach.
Data Product	concept	Data Products	A curated, documented, owned dataset treated as a product with consumers, a service level and a lifecycle, rather than as the output of a pipeline.
Data Quality Dimensions	concept	Data Quality Dimensions	The standard axes along which data quality is measured, which turn a vague complaint into a testable assertion.
Data Steward	concept	Data Stewardship	The named individual accountable for the definition, quality and appropriate use of a specific data domain.
Decision Rights Over Data	concept	Data Governance & Semantics	Who is entitled to decide what a data element means, who may see it and how long it is kept — the substance of governance once the policy documents are set aside.
Differencing Attack Query Differencing, Reconstruction Attack	concept	Data Sharing & Clean Rooms	Inferring an individual's data from the difference between two permitted aggregate results - the reason that returning only aggregates is not by itself a privacy guarantee.
Domain Data Ownership	concept	Data Mesh	Making the team that generates data accountable for publishing it fit for others to use, rather than handing raw extracts to a central team.
Erasure Amplification Deletion Write Multiplier, Purge Fan-Out	concept	Retention & Purge	The ratio between the bytes rewritten to honour a deletion request and the bytes actually belonging to the subject, which decides whether on-demand erasure is feasible or must be batched.
Golden Record	concept	Master Data Management	The single authoritative version of an entity assembled from conflicting sources, and the survivorship rules that decide which value wins.
Governed Path Bypass Shadow Access Route, Route-Around	concept	Self-Service vs Governed	Any route to data that reaches it without passing the controls the organisation believes are in force, which is what makes a correct policy optional rather than binding.
Governed Self-Service	concept	Self-Service vs Governed	Letting anyone analyse anything while constraining what may be treated as authoritative, which resolves the apparent conflict between speed and consistency.
Identifier Reuse Hazard Code Recycling, Key Reassignment	concept	Reference Data	The silent corruption that occurs when a retired code or key is later assigned to a different real-world entity, so historical facts join to the wrong meaning with no error anywhere.
Match Rate Bias Matched-Cohort Bias, Identity Coverage Bias	concept	Data Sharing & Clean Rooms	The systematic skew introduced when only the identifiable subset of each party's population joins, so a shared measurement describes the matched cohort rather than the market it is quoted about.
Over-Classification Label Inflation, Maximum Propagation Collapse	concept	Sensitivity Labelling	The state in which so much of an estate carries the highest sensitivity label that its controls become unworkable, and people route around them - producing less protection than a coarser scheme would.
Point-in-Time Correctness As-Of Join, Temporal Correctness, Leakage Prevention	concept	Semantic Layer	Retrieving each feature's value as it was at the moment of the event rather than its current value, which is what prevents a model from training on information that did not exist yet.
Policy Bypass Surface Enforcement Gap, Derived-Object Leak	concept	Row & Column-Level Security	The set of objects and paths through which data protected by a row or column policy can be read without that policy being evaluated - typically derived objects refreshed under a privileged identity.
Producer Obligation	concept	Data Contracts	What a data contract binds the producing team to do, and — crucially — what happens in their pipeline when they are about to break it.
Reference Data	concept	Reference Data	The slowly-changing shared vocabularies — country codes, currencies, product categories, tax rates — whose inconsistency causes disproportionate trouble.
Self-Service versus Governed	concept	Self-Service vs Governed	Balancing analyst autonomy against consistency — resolved by tiers and enforced definitions rather than by restricting access.
Sensitivity Propagation	concept	Sensitivity Labelling	The rule that a derived dataset inherits the highest sensitivity of its inputs unless a named transformation demonstrably lowers it.
Silent Data Failure No Error, Plausibly Wrong, Quiet Breakage	concept	Data Observability	A data problem that produces no error - the pipeline succeeded, the schema was valid, the numbers were plausible - which is why error-based monitoring cannot detect it and why it persists for weeks.
Token Domain Entropy Tokenised Value Space, Surrogate Input Entropy	concept	Tokenisation & Masking	The size and guessability of the value space a deterministic token is computed from, which decides whether that token is a usable pseudonym or a lookup key an attacker can rebuild without ever touching the vault.