Data Velocity
Data Velocity is a concept in data engineering and big data that refers to the speed at which data is generated, processed, and moved within a system. It is one of the '3 Vs' of big data (alongside Volume and Variety), describing how fast data flows from sources like sensors, social media, or transactions. High data velocity requires real-time or near-real-time processing capabilities to handle continuous streams of incoming data.
Developers should understand data velocity when building systems that process streaming data, such as IoT applications, financial trading platforms, or real-time analytics dashboards. It is crucial for selecting appropriate technologies like Apache Kafka or Apache Flink that can handle high-speed data ingestion and processing. Ignoring data velocity can lead to bottlenecks, data loss, or outdated insights in time-sensitive applications.