5V’s of Big Data
Characteristics of big data defined as Volume, Velocity, Variety, Veracity, and Value.
Characteristics of big data defined as Volume, Velocity, Variety, Veracity, and Value.
A professional who designs, builds, and maintains systems for processing large-scale data sets.
Extremely large data sets that can be analyzed computationally to reveal patterns, trends, and associations.
The practice of collecting, processing, and using data in ways that respect privacy, consent, and the well-being of individuals.
Garbage In-Garbage Out (GIGO) is a principle stating that the quality of output is determined by the quality of the input, especially in computing and data processing.
Business Process Model and Notation (BPMN) is a graphical representation for specifying business processes in a workflow, using standardized symbols and notations.
Data points that differ significantly from other observations and may indicate variability in a measurement, experimental errors, or novelty.
Operations and processes that occur on a server rather than on the user's computer.
Technologies that enable machines to understand and interpret data on the web in a human-like manner, enhancing connectivity and usability of information.