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THE TECHNICAL LANGUAGE OF DIGITAL B2B INFRASTRUCTURE

CONCEPT
DATA ENGINEERING

Data Lineage

A traceable record of where data originated, how it moved and changed, and where it is used across systems and processes.


BUSINESS RELEVANCE

Lineage supports impact analysis, root-cause investigation, auditability, migration, privacy requests, and confidence in reports and AI systems.


IMPLEMENTATION EXAMPLE

Before changing a CRM field, a team uses column-level lineage to identify affected warehouse models, dashboards, automation, and machine-learning features.


LIMITATIONS

Lineage can be incomplete or stale, especially across manual exports and opaque vendor systems. It shows movement and transformation but does not by itself prove quality, lawful use, or semantic correctness.


TECHNICAL EXPLANATION

Lineage connects sources, pipelines, transformations, schemas, datasets, reports, models, and destinations. It may be captured from code, query logs, orchestration metadata, or manual documentation and represented at system, table, column, or record level.


Secondary Topics

AI Governance

Sources

Related terms

Robotic Process Automation (RPA)

CONCEPT
INTELLIGENT AUTOMATION

Software bots configured to execute repetitive, rule-based graphical interface actions across enterprise legacy software.

Data Pipeline

CONCEPT
DATA ENGINEERING

An automated sequence of processes extracting, transforming, validating, and delivering data between operational platforms.

Prototype

CONCEPT
EXPERIENCE DESIGN

A preliminary model or interactive mock-up created to test user experience assumptions before committing development resources.

Orchestration

CONCEPT
INTELLIGENT AUTOMATION

The automated coordination, scheduling, and management of multiple interdependent microservices and computer workflows.

Hreflang

CONCEPT
SEARCH OPTIMIZATION

An HTML attribute signaling language and regional page variations to search engines for localized search results delivery.