Data Integrity
Data integrity is the accuracy, consistency, and reliability of data throughout its lifecycle.
Data Lake
Data Lake is a centralized repository that stores vast amounts of raw, unstructured, and structured data in its native format for flexible analysis and processing.
Data Lakehouse
Data Lakehouse is a modern data architecture that combines the scalability of data lakes with the management and performance features of data warehouses.
Data Lineage
Data lineage is the process of tracking the origin, movement, and transformation of data throughout its lifecycle within an organization’s systems.
Data Localization
Data localization is the practice of storing and processing data within the geographic boundaries of a specific country or region.
Data Loss Prevention
Data Loss Prevention is a strategy and set of tools designed to prevent sensitive information from being lost, leaked, or accessed by unauthorized users.
Data Mart
Data Mart is a focused subset of a data warehouse designed to serve specific business lines or departments with relevant, streamlined data for analysis.
Data Masking
Data Masking is the process of obscuring sensitive information by replacing it with fictitious but realistic data to protect privacy and maintain data usability.
Data Mesh
Data Mesh is a decentralized approach to managing and scaling data architecture by treating data as a product owned by domain-specific teams.
Data Modeling
Data Modeling is the process of creating a structured representation of data to organize, define, and manage information efficiently.
Data Munging
Data munging is the process of cleaning, transforming, and organizing raw data into a usable format for analysis or business applications.
Data Observability
Data Observability is the practice of monitoring, tracking, and understanding the health and quality of data systems to ensure reliable and accurate data insights.
Data Pipeline
Data Pipeline is a series of processes that move data from one system to another, transforming and preparing it for analysis or storage.
Data Preparation
Data Preparation is the process of cleaning, transforming, and organizing raw data into a usable format for analysis or modeling.
Data Privacy
Data Privacy is the practice of protecting personal and sensitive information from unauthorized access, ensuring individuals control over their own data.
Data Profiling
Data profiling is the process of examining, analyzing, and summarizing data to understand its structure, quality, and content.
Data Quality
Data Quality is the measure of how accurate, complete, reliable, and relevant data is for its intended use.
Data Relevance
Data relevance is the degree to which data is applicable and useful for a specific purpose or decision-making process.
Data Reliability
Data reliability is the consistency and accuracy of data over time, ensuring it can be trusted for decision-making and analysis.
Data Security
Data Security is the practice of protecting digital information from unauthorized access, corruption, or theft throughout its lifecycle.
Data Silo
Data silo is a repository of data isolated within a department or system, preventing easy sharing and integration across an organization.
Data Sovereignty
Data Sovereignty is the concept that digital data is subject to the laws and governance of the country where it is physically stored.
Data Stewardship
Data Stewardship is the responsible management and oversight of data assets to ensure accuracy, privacy, and compliance.
Data Swamp
Data Swamp is a disorganized and unmanaged data repository where raw data accumulates without proper governance or structure.
Page 2 of 4