Enterprise Technology Glossary

6,173 results · page 73 of 309

• Data Localization Requirement

  Data localization requirement is a legal or regulatory rule that compels specific data to be stored or processed within a defined jurisdiction, affecting how enterprises design infrastructure, choose cloud regions, manage cross-border data flows, and demonstrate compliance to regulators.

• Data Loss Prevention

  Data loss prevention is a security discipline and toolset that monitors and controls sensitive data across endpoints, networks, and cloud services to reduce unauthorized disclosure, support regulatory compliance, and provide governance over how enterprises handle and move protected information.

• Data Management

  Data management is the organized set of processes, architectures, and controls an enterprise uses to collect, store, govern, secure, and maintain data across its lifecycle so that operational systems, analytics, and regulatory reporting can rely on accurate, consistent, and auditable information.

• Data Management Body of Knowledge

  Data Management Body of Knowledge is a vendor-neutral reference framework and guidebook from DAMA International that defines standard concepts, roles, and processes for enterprise data management, supporting governance, architecture, quality, security, and compliance across an organization’s data and information assets.

• Data Manipulation Language

  Data Manipulation Language (DML) is the part of a database language that handles inserting, updating, deleting, and retrieving stored data, and it matters in enterprises because it underlies transactional applications, reporting, analytics, and governed access to operational data.

• Data Mapping

  Data mapping is the process of defining correspondences between data elements in different systems or datasets so that data can be integrated, transformed, and governed consistently, which supports interoperability, regulatory compliance, modernization efforts, and reliable analytics in enterprise environments.

• Data Mapping Engine

  Data Mapping Engine is a software component that defines and executes structured mappings between heterogeneous data schemas and formats, enabling repeatable data integration, migration, and transformation while supporting governance, reuse, and maintenance of field-level mapping logic across enterprise systems.

• Data Mapping Schema

  Data mapping schema is a formal specification that defines how data elements in one system or format correspond to those in another, enabling consistent integration, migration, and exchange of data in enterprise environments with multiple applications, databases, and data platforms.

• Data Mart

  Data mart is a subject-focused subset of a data warehouse that contains curated, structured data for a specific business domain or department, enabling targeted analytics, reporting, and governance within enterprise data platforms and business intelligence environments.

• Data Masking

  Data masking is a data protection technique that alters sensitive data into de-identified or pseudonymous values while preserving structure, enabling development, testing, analytics, and data sharing on realistic datasets while limiting exposure of personal, financial, or regulated information in enterprise environments.

• Data Mediation Platform

  Data mediation platform is an intermediate software layer that standardizes, enriches, and routes data between heterogeneous systems, enabling consistent formats, centralized transformation logic, and policy enforcement for billing, analytics, and compliance use cases in complex enterprise environments.

• Data Memory

  Data memory is the hardware or software-managed working storage that holds data values, variables, and intermediate results during program execution, which matters in enterprise computing for performance, reliability, and security of applications, platforms, and in-memory processing architectures.

• Data Mesh

  Data mesh is an enterprise data management approach that assigns domain teams ownership of data as a product, supported by a self-serve data platform and federated governance, to manage distributed data, quality, and access across complex organizational and technology environments.

• Data Mesh Architecture

  Data mesh architecture is a decentralized data management approach that assigns domain-based ownership for data products while enforcing shared standards, governance, and self-serve platform capabilities, enabling enterprises to manage analytics and AI data across many domains with consistent controls and interoperability.

• Data Migration

  Data migration is the controlled transfer of data between systems, formats, or environments within an enterprise, conducted through defined processes to preserve integrity, security, and usability while supporting system changes, cloud adoption, consolidation efforts, and regulatory and governance requirements.

• Data Migration Service

  Data migration service is a software-based capability that automates and governs the movement of data between systems or environments, enabling secure, controlled transitions during modernization, consolidation, or cloud adoption while maintaining data quality, integrity, security controls, and business continuity requirements.

• Data Minimization

  Data minimization is a privacy and data protection principle that limits personal data collection, processing, and retention to what is adequate, relevant, and necessary for defined purposes, helping enterprises meet regulatory requirements and reduce exposure of unnecessary personal information.

• Data Minimization Framework

  Data minimization framework is a structured set of policies, processes, and controls that ensures organizations collect, use, retain, and share only the data necessary for specified purposes, supporting legal compliance, risk reduction, and consistent privacy-by-design across enterprise systems.

• Data Mirroring

  Data mirroring is a data protection method that maintains near-real-time duplicate copies of data on separate systems or sites, enabling high availability, controlled failover, and disaster recovery to support enterprise continuity, resilience objectives, and regulatory or contractual uptime requirements.

• Data Mobility Platform

  Data mobility platform is an integrated software or software-defined system that manages secure, policy-governed movement and placement of data across heterogeneous storage, cloud, and edge environments, supporting workload portability, governance, and compliance in enterprise and hybrid cloud architectures.