Data Scrubbing
The process of amending or removing data in a database that is incorrect, incomplete, improperly formatted, or duplicated.
You will find this term commonly used in General IT, AI
Data Security
Protecting data from destructive forces and from the unwanted actions of unauthorized users, such as a cyberattack or a data breach.
You will find this term commonly used in Security, Cybersecurity
Data Segmentation
The process of dividing a database into distinct subsets of data for the purpose of analysis or operational use.
You will find this term commonly used in General IT, AI
Data Serialization
The process of converting a data structure into a format that can be easily stored and retrieved.
You will find this term commonly used in General IT, AI
Data Service Layer
An architectural layer that provides centralized data access, manipulation, and business logic functions to applications and systems.
You will find this term commonly used in General IT, Networking
Data Sharing
The practice of making data available to others, either within an organization or publicly, to support decision-making, research, and innovation.
You will find this term commonly used in General IT, AI
Data Silo
A repository of fixed data that remains under the control of one department and is isolated from the rest of the organization.
You will find this term commonly used in General IT, Networking
Data Slicing
A technique used in data analysis to divide data into smaller, manageable segments for detailed analysis.
You will find this term commonly used in AI, General IT
Data Smoothing
The process of using an algorithm to remove noise from a data set, allowing important patterns to stand out.
You will find this term commonly used in AI, General IT
Data Snapshot
A read-only copy of a set of data as it appeared at a particular point in time, often used for backup or analysis purposes.
You will find this term commonly used in General IT, Security
Data Sourcing
The process of finding and acquiring data from various sources, often for the purpose of data analysis or to support decision-making processes.
You will find this term commonly used in General IT, AI
Data Sovereignty
The concept that digital data is subject to the laws of the country in which it is located or stored.
You will find this term commonly used in Security, Cybersecurity, General IT
Data Sparsity
The condition in which a dataset is largely filled with zeros or null values, indicating a lack of data in many dimensions or records.
You will find this term commonly used in AI, General IT
Data Standardization
The process of bringing data into a common format to enable users to process and analyze it.
You will find this term commonly used in General IT, AI
Data Steward
A role within an organization responsible for utilizing an organization's data governance processes to ensure fitness of data elements - both the content and metadata.
You will find this term commonly used in General IT, Security
Data Stewardship
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.
You will find this term commonly used in General IT, Security
Data Streaming
The technology used to deliver content to computers and mobile devices over the internet in a continuous flow, allowing users to access data while it's being delivered.
You will find this term commonly used in Networking, General IT
Data Structure
A particular way of organizing and storing data in a computer so that it can be accessed and modified efficiently.
You will find this term commonly used in General IT, AI
Data Subsetting
The process of creating a smaller, focused dataset from a larger dataset for specific analysis or testing purposes.
You will find this term commonly used in AI, General IT
Data Suppression
The practice of omitting sensitive information from data sets or outputs to protect individual privacy or proprietary information.
You will find this term commonly used in Security, Cybersecurity
Data Synchronization
The process of establishing consistency among data from a source to a target data storage and vice versa and continuous harmonization of the data over time.
You will find this term commonly used in Networking, General IT
Data Synergy
The combined effect achieved when data from different sources and of different types are integrated and analyzed together, producing insights or results greater than the sum of their parts.
You will find this term commonly used in AI, General IT
Data System Integration
The process of linking together different computing systems and software applications physically or functionally, to act as a coordinated whole.
You will find this term commonly used in General IT, Networking
Data Table
A structured format for organizing and displaying data in rows and columns, making it easier to understand and analyze.
You will find this term commonly used in General IT
Data Tagging
The process of assigning labels or tags to data elements, which helps in organizing and finding data during analysis.
You will find this term commonly used in AI, General IT
Data Taxonomy
A classification system for organizing data into categories and subcategories, making it easier to retrieve, manage, and analyze.
You will find this term commonly used in General IT, AI
Data Telemetry
The automated process of collecting data from remote or inaccessible points and transmitting it to receiving equipment for monitoring, analysis, or remote control.
You will find this term commonly used in Networking, General IT
Data Template
A pre-defined structure or format for data that specifies how data should be organized, formatted, and presented.
You will find this term commonly used in General IT
Data Thinning
The process of reducing the volume of data by selectively removing less significant data points to make analysis more manageable and less resource-intensive.
You will find this term commonly used in AI, General IT
Data Throughput
The rate at which data is successfully transmitted from one location to another over a given period of time.
You will find this term commonly used in Networking, General IT
Data Tier
In a multi-tiered architecture, the layer that handles data storage, retrieval, and management, separate from the business logic or presentation layers.
You will find this term commonly used in General IT, Networking
Data Tokenization
The process of substituting sensitive data elements with non-sensitive equivalents, known as tokens, that have no extrinsic or exploitable meaning or value.
You will find this term commonly used in Security, Cybersecurity
Data Topology
The arrangement or mapping of data within a dataset or across datasets, which includes the relationships and structures formed by these data elements.
You will find this term commonly used in AI, General IT
Data Traceability
The ability to chronologically interrelate the uniquely identifiable entities in a way that is verifiable.
You will find this term commonly used in Security, Cybersecurity, General IT
Data Tracking
The process of collecting data about user behavior, system performance, or other activities, to analyze trends, performance, or compliance.
You will find this term commonly used in General IT, Security
Data Transformation
The process of converting data from one format or structure into another.
You will find this term commonly used in General IT, AI
Data Transliteration
Converting text from one script to another in a way that the text remains phonetically the same, often used in data processing to standardize datasets.
You will find this term commonly used in General IT, AI
Data Transmittal
The process of transferring data between different hardware or software systems.
You will find this term commonly used in Networking, General IT
Data Transparency
The extent to which data, data collection processes, and data use are open and transparent to users, often related to privacy policies and practices.
You will find this term commonly used in Security, Cybersecurity, General IT
Data Transport
The movement of data across networks or between devices, systems, or platforms, often involving protocols and standards for efficient and secure transfer.
You will find this term commonly used in Networking, General IT
Data Type
A classification identifying one of various types of data, such as integer, floating-point, or string, that determines the possible values for that type.
You will find this term commonly used in General IT, AI
Data Typology
The study and classification of different types of data, based on their characteristics, uses, and handling requirements.
You will find this term commonly used in AI, General IT
Data Unification
The process of integrating multiple data sources and formats into a single, cohesive dataset with a uniform format, often to support comprehensive analysis or reporting.
You will find this term commonly used in AI, General IT
Data Validation
The process of ensuring that a program operates on clean, correct and useful data.
You will find this term commonly used in General IT, Security
Data Value Chain
The series of activities needed to transform raw data into valuable insights or products, including data collection, storage, analysis, and dissemination.
You will find this term commonly used in General IT, Business
Data Variability
The extent to which data points in a dataset differ from each other, which can affect analysis outcomes and insights.
You will find this term commonly used in AI, General IT
Data Variant
A version of a dataset or data element that has been altered or modified in some way, often for testing or analysis purposes.
You will find this term commonly used in General IT, AI
Data Vault
A secure repository for storing and managing sensitive data, especially for compliance and protection against data breaches.
You will find this term commonly used in Security, Cybersecurity
Data Vectorization
The process of converting data into a vector format, where each item of data is represented as a point in a space of multiple dimensions, often used in machine learning and data analysis.
You will find this term commonly used in AI, General IT
Data Veracity
The degree to which data is accurate, precise, and trusted, affecting its reliability for making decisions or insights.
You will find this term commonly used in General IT, AI
