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.
Extremely large data sets that can be analyzed computationally to reveal patterns, trends, and associations.
A symmetrical, bell-shaped distribution of data where most observations cluster around the mean.
A statistical measure that quantifies the amount of variation or dispersion of a set of data values.
The systematic computational analysis of data or statistics to understand and improve business performance.
The spread and pattern of data values in a dataset, often visualized through graphs or statistical measures.
Data points that differ significantly from other observations and may indicate variability in a measurement, experimental errors, or novelty.
An interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.
The practice of measuring and analyzing data about digital product adoption, usage, and performance to inform business decisions.