Data independence - Data independence is the ability to change how data is organized or stored while preserving the interfaces and behavior on which applications or users rely.
Data ingestion - Data ingestion is the process of bringing data from its sources into a destination where it can be stored or processed.
Data integrity - Data integrity is the condition in which data remains consistent with its intended content and applicable rules, and is protected against improper...
Data-intensive computing - Data-intensive computing is computing in which the amount, movement, organization or arrival rate of data is a major design challenge.
Data item - A data item is an identifiable unit of information that a system treats as a value or structured part of its data.
Data lake - A data lake is a repository designed to hold substantial amounts of data in varied formats, often including source data before it has been shaped for a...
Data Lakehouse - A data lakehouse is a data-platform architecture that combines the flexible storage approach of a data lake with database-style table management and...
Data leakage - Data leakage is when information from outside a model's legitimate training view, often the answer itself, slips into its inputs, making test results look...
Data lifecycle - The data lifecycle is the sequence of activities through which data is planned, obtained, processed, used, maintained, shared, preserved, and eventually...
Data loading - Data loading is the process of writing incoming data into a target system so it can be stored and used there.
Data management plan - A data management plan, often shortened to DMP, is a document describing how a project's data will be created or obtained, organized, protected, documented...
Data manipulation language - Data manipulation language, commonly abbreviated DML, is the part of a database language used to work with data held in existing database structures.
Data mart - A data mart is a collection of data organized for the analytical needs of a particular subject area, business function or group of users.
Data masking - Data masking conceals sensitive values by replacing or obscuring them while allowing an intended use of the resulting data.
Data matrix - A data matrix is a rectangular arrangement of data values used for analysis or learning.
Data minimization principle - The data minimization principle requires personal data to be sufficient and relevant for a defined purpose while limiting it to what that purpose needs.
Data mining - Data mining is the use of computational and statistical methods to discover patterns or build useful models from data.
Data model - A data model is a representation of how data is organized, what it means, how its elements relate and which rules apply.
Data Modeling - Data modeling is the process of designing and documenting how information should be represented, related and governed by rules.
Data normalization - Data normalization is the transformation of numerical data into a scale or form suitable for analysis or machine learning.
Data-oriented parsing - Data-oriented parsing, or DOP, is an approach to analyzing language by combining fragments of previously analyzed utterances.
Data parallelism - Data parallelism is a way of speeding up a computation by applying the same operation to different portions of data at the same time.
Data Partitioning - Data partitioning is dividing a dataset into defined portions so that storage, processing or management can operate on those portions.
Data philanthropy - Data philanthropy is the contribution of privately held data, access to those data, or insights derived from them to support a public-benefit purpose.
Data physicalization - Data physicalization represents data through the geometry or material properties of physical artifacts.
Data pipeline - A data pipeline is a defined sequence or network of steps that moves data from sources toward a usable destination, often transforming and checking it along...
Data point - A data point is one unit of information considered in an analysis or machine-learning task.
Data poisoning - Data poisoning is deliberate interference with data used by an AI system in order to cause unwanted behavior.
Data preservation - Data preservation is the planned management of data so that they remain intact, understandable and usable for as long as they are needed.
Data privacy - Data privacy concerns how information about people is collected, used, shared, retained, and otherwise processed, and how those activities affect the people...
Data processing inequality - The data processing inequality states that processing an observation cannot increase its mutual information about an upstream variable when the processing...
Data proliferation - Data proliferation is the growth and spread of data across files, applications, copies, versions and storage locations.
Data proxy - A data proxy is observed information used to stand in for another quantity or characteristic that is difficult, unavailable, or impossible to measure directly.
Data Quality - Data quality is the degree to which data meets the requirements of its intended use.
Data quality claim - A data quality claim states how well data meets a specified quality requirement.
Data quality dimensions - Data quality dimensions are distinct aspects used to describe and assess data quality.
Data quality firewall - A data quality firewall is a descriptive name for software checks placed at a data-entry or pipeline boundary to prevent records with specified quality...
Data quality measure - A data quality measure is a variable used to express a measured aspect of data quality.
Data quality model - A data quality model organizes the characteristics used to define and evaluate data quality.
Data quality plan - A data quality plan specifies how an organization or project will achieve its data quality objectives.
Data quality planning - Data quality planning is the activity of setting data quality objectives and deciding which processes and resources are needed to achieve them.
Data record - A data record is a collection of related data items handled as one unit.
Data recovery - Data recovery is the process of restoring access to usable data after it has been lost, deleted, damaged, or made unavailable.
Data reduction - Data reduction is the creation of a smaller or simpler representation of data for a defined analytical purpose.
Data redundancy - Data redundancy is the presence of repeated information or additional information that enables recovery when some data are lost or damaged.
Data security - Data security is the protection of data against unauthorized access, disclosure, alteration, destruction, and loss of availability.
Data storage - Data storage is the recording and retention of digital information so that it can be retrieved and used.
Data store - A data store is a repository or system used to hold and retrieve data.