A
Artificial intelligence
The simulation of human intelligence by machines, often using data-driven algorithms.
The simulation of human intelligence by machines, often using data-driven algorithms.
B
Big Data
Large and complex datasets that require advanced tools for processing and analysis.
Large and complex datasets that require advanced tools for processing and analysis.
D
Data Governance
The management of data policies, standards, and processes within an organisation.
The management of data policies, standards, and processes within an organisation.
Data Hub
A centralized system that enables data integration, sharing, and management across multiple sources and applications. Unlike a data warehouse or data lake, a data hub acts as an intermediary, facilitating the movement and governance of data without necessarily storing it long-term. It helps organizations maintain data consistency, improve accessibility, and support real-time data exchange
A centralized system that enables data integration, sharing, and management across multiple sources and applications. Unlike a data warehouse or data lake, a data hub acts as an intermediary, facilitating the movement and governance of data without necessarily storing it long-term. It helps organizations maintain data consistency, improve accessibility, and support real-time data exchange
Data Ownership
The legal and ethical rights associated with controlling data.
The legal and ethical rights associated with controlling data.
Data Science
The interdisciplinary field of analyzing and interpreting complex data.
The interdisciplinary field of analyzing and interpreting complex data.
Data Warehousing
The storage of structured data from multiple sources for analysis and reporting.
The storage of structured data from multiple sources for analysis and reporting.
M
Machine Learning
A subset of artificial intelligence that enables systems to learn from data.
A subset of artificial intelligence that enables systems to learn from data.
Metadata
Data that describes other data, such as file size, author, or creation date.
Data that describes other data, such as file size, author, or creation date.
S
Semi-Structured Data
Data that does not fit into a traditional database but has some organizational properties, like JSON or XML files.
Data that does not fit into a traditional database but has some organizational properties, like JSON or XML files.
Structured Data
Data organised in a predefined format, typically within relational databases.
Data organised in a predefined format, typically within relational databases.
U
Unstructured Data
Data that does not have a predefined format, such as text, images, and videos.
Data that does not have a predefined format, such as text, images, and videos.