Data-intensive technologies
Applications where data volume, velocity, and complexity are the primary engineering challenges.
Definitions (2)
Technologies where the sheer volume, rapid velocity, and intricate complexity of data, rather than just computational power, constitute the main engineering challenge. Examples include distributed databases and stream processing used in services like ride-sharing and e-commerce.
Within the context of this UK government call for evidence, "data-intensive technologies" are defined as applications where the sheer volume, velocity, and complexity of data constitute the primary engineering challenge, rather than computational power alone. This includes technologies like distributed databases and stream processing, exemplified by ride-sharing, video streaming, and e-commerce systems.