Data Management/Data Warehousing Definitions

This glossary explains the meaning of key words and phrases that information technology (IT) and business professionals use when discussing data management and related software products. You can find additional definitions by visiting WhatIs.com or using the search box below.

  • D

    data governance (DG)

    Data governance (DG) is the overall management of the availability, usability, integrity and security of data used in an enterprise. A sound data governance program includes a governing body or council, a defined set of procedures and a plan to execute those procedures.

  • data management

    Data management is the practice of organizing and maintaining data processes to meet ongoing information lifecycle needs.

  • data management-as-a-service (DMaaS)

    Data Management-as-a-Service (DMaaS) is a type of cloud service that provides protection, governance and intelligence across a company’s various data sources.

  • data mart (datamart)

    A data mart is a repository of data that is designed to serve a particular community of knowledge workers.

  • data modeling

    Data modeling is the process of documenting a complex software system design as an easily understood diagram, using text and symbols to represent the way data needs to flow.

  • data profiling

    Data profiling is the process of examining, analyzing and reviewing data to collect statistics surrounding the quality and hygiene of the dataset.

  • data quality

    Data quality is a perception or an assessment of data's fitness to serve its purpose in a given context.

  • data scrubbing (data cleansing)

    Data scrubbing, also called data cleansing, is the process of cleaning up data in a database that is incorrect, incomplete, or duplicated.

  • data stewardship

    Data stewardship is the management and oversight of an organization's data assets to provide business users with high quality data that is easily accessible in a consistent manner.

  • data virtualization

    Data virtualization is an umbrella term used to describe any approach to data management that allows an application to retrieve and manipulate data without needing to know any technical details about the data such as how it is formatted or where it is physically located. 

  • data warehouse

    A data warehouse is a federated repository for all the data collected by an enterprise's various operational systems, be they physical or logical.

  • data warehouse as a service (DWaaS)

    Data warehousing as a service (DWaaS) is an outsourcing model in which a service provider configures and manages the hardware and software resources a data warehouse requires, and the customer provides the data and pays for the managed service.

  • database replication

    Database replication is the frequent electronic copying of data from a database in one computer or server to a database in another so that all users share the same level of information.

  • database-agnostic

    Database-agnostic is a term describing the capacity of software to function with any vendor’s database management system (DBMS). In information technology (IT), agnostic refers to the ability of something – such as software or hardware – to work with various systems, rather than being customized for a single system.

  • DataOps (data operations)

    DataOps (data operations) is an approach to designing, implementing and maintaining a distributed data architecture that will support a wide range of open source tools and frameworks in production.

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