Data Science glossary
A neutral KnowledgeAtlas glossary reference for Data Science.
How to use this glossary
This glossary introduces working vocabulary used in data science. Definitions are intentionally concise and should be read with the linked full articles, where context, trade-offs, and limitations are explained.
Architecture
In data science, architecture describes a structured way to organize responsibilities and relationships. The exact meaning depends on the system boundary and the people using it.
Asset
In data science, asset describes an element used within a wider technical or creative process. The exact meaning depends on the system boundary and the people using it.
Boundary
In data science, boundary describes a reviewable stage or rule that helps teams coordinate work. The exact meaning depends on the system boundary and the people using it.
Component
In data science, component describes a structured way to organize responsibilities and relationships. The exact meaning depends on the system boundary and the people using it.
Dependency
In data science, dependency describes an element used within a wider technical or creative process. The exact meaning depends on the system boundary and the people using it.
Framework
In data science, framework describes a reviewable stage or rule that helps teams coordinate work. The exact meaning depends on the system boundary and the people using it.
Interface
In data science, interface describes a structured way to organize responsibilities and relationships. The exact meaning depends on the system boundary and the people using it.
Iteration
In data science, iteration describes an element used within a wider technical or creative process. The exact meaning depends on the system boundary and the people using it.
Lifecycle
In data science, lifecycle describes a reviewable stage or rule that helps teams coordinate work. The exact meaning depends on the system boundary and the people using it.
Model
In data science, model describes a structured way to organize responsibilities and relationships. The exact meaning depends on the system boundary and the people using it.
Pipeline
In data science, pipeline describes an element used within a wider technical or creative process. The exact meaning depends on the system boundary and the people using it.
Protocol
In data science, protocol describes a reviewable stage or rule that helps teams coordinate work. The exact meaning depends on the system boundary and the people using it.
Repository
In data science, repository describes a structured way to organize responsibilities and relationships. The exact meaning depends on the system boundary and the people using it.
Runtime
In data science, runtime describes an element used within a wider technical or creative process. The exact meaning depends on the system boundary and the people using it.
Validation
In data science, validation describes a reviewable stage or rule that helps teams coordinate work. The exact meaning depends on the system boundary and the people using it.
Related articles
Demo reference entry for layout testing only. No invented publication is presented as a source.