Enterprise Technology Glossary

6,173 results · page 71 of 309

• Data Governance Council

  Data governance council is a cross-functional governing body that sets and oversees enterprise data policies, standards, and decision rights, providing structured guidance for data quality, access, compliance, and risk management across business units, IT, security, and regulatory functions.

• Data Governance Framework

  Data governance framework is an organized set of roles, policies, processes, and technical standards that governs how an enterprise manages and controls its data assets, enabling consistent data quality, security, compliance, and accountability across systems, business units, and lifecycle stages.

• Data Governance Gateway

  Data governance gateway is a centralized control layer that mediates data access requests and enforces governance, security, and compliance policies across distributed data platforms, enabling consistent rule enforcement, fine-grained controls, and auditable data use in complex enterprise environments.

• Data Governance Policy

  Data governance policy is a formal set of rules, decision rights, and responsibilities that governs how an organization manages, protects, and uses data, enabling consistent control, regulatory compliance, and accountable data use across enterprise systems and business processes.

• Data Gravity Analysis

  Data gravity analysis is the structured assessment of how the size, location, and dependencies of enterprise data constrain where applications, infrastructure, and networks operate, informing architectural, cost, compliance, and workload-placement decisions across data centers, public clouds, and edge environments.

• Data Hall

  Data hall is a physically segregated room within a data center that houses IT racks with dedicated power, cooling, security, and monitoring, relevant to enterprises because it underpins workload reliability, capacity planning, energy performance, and compliance with operational and physical controls.

• Data Hall Layout

  Data hall layout is the planned arrangement of racks, aisles, and supporting power and cooling infrastructure inside a data center room, used by enterprises to meet capacity, availability, efficiency, safety, and compliance requirements for hosted IT equipment.

• Data Hall Navigation System

  Data hall navigation system is an indoor positioning and guidance capability used in data centers to direct personnel to precise racks, cages, and assets. It supports operations, security, and audits by combining location technologies with facility layouts and asset inventories.

• Data Hall Thermal Map

  Data hall thermal map is a visual representation of temperature conditions across a data hall that uses sensor or model data to show hot and cold areas, helping enterprises manage cooling efficiency, protect IT equipment, and support capacity planning.

• Data Impact Analysis

  Data impact analysis is a structured assessment that evaluates how changes to data or data processing affect data quality, security, privacy, compliance, and operations, enabling enterprises to make informed architectural and governance decisions and to document risk treatment for regulators and auditors.

• Data Infrastructure

  Data infrastructure is the combined hardware, software, and network environment that enables enterprises to collect, store, process, secure, and access data. It matters because it underpins analytics, operations, governance, and compliance across on-premises, cloud, and hybrid technology estates.

• Data Ingestion

  Data ingestion is the controlled process that collects and transports data from diverse sources into enterprise data platforms for storage, processing, and analytics, enabling governance, traceability, and timely availability of information for reporting, compliance, and operational and analytical workloads.

• Data Ingestion Pipeline

  Data ingestion pipeline is a set of processes and components that move data from multiple internal and external sources into target platforms for analysis and operations, while enforcing reliability, governance, and data quality required in enterprise environments.

• Data Ingestion Service

  Data ingestion service is a software or cloud service that collects and loads data from various internal and external sources into enterprise data platforms, enforcing formats, controls, and monitoring so organizations can operate governed, reliable pipelines for analytics and AI workloads.

• Data Integration

  Data integration is the process of combining and reconciling data from multiple enterprise systems into a unified, consistent view, enabling reliable analytics, reporting, and operations across data warehouses, data lakes, and applications in on-premises, cloud, and hybrid environments.

• Data Integration Hub

  Data integration hub is a centralized data exchange platform that manages publication, subscription, and distribution of data among multiple systems using standardized interfaces, metadata, and governance, enabling controlled, reusable data sharing for analytics, operations, compliance, and cross-domain collaboration in enterprises.

• Data Integration Platform

  Data integration platform is enterprise software that connects disparate data sources and targets, manages extraction and transformation, and delivers consistent datasets for analytics, applications, and governance, enabling controlled, repeatable data movement and combination across on-premises, cloud, and hybrid environments.

• Data Integrity

  Data integrity is the property that data remains accurate, complete, consistent, and unaltered except through authorized processes, and it matters in enterprises because it underpins reliable transactions, analytics, regulatory compliance, and trustworthy security and governance practices across systems and data pipelines.

• Data Integrity Monitor

  Data Integrity Monitor is a control that observes and compares data, files, or configurations against baselines or policies to detect unauthorized or unexpected changes, supporting security monitoring, change control, regulatory compliance, and the reliability of enterprise information systems.

• Data Integrity Verification

  Data integrity verification is the process and control framework that confirms enterprise data remains accurate, complete, and unaltered from its expected state, supporting security, regulatory compliance, reliable analytics, and trustworthy operations across storage, processing, and transmission environments.