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.
Quantitative data that provides broad, numerical insights but often lacks the contextual depth that thick data provides.
The spread and pattern of data values in a dataset, often visualized through graphs or statistical measures.
The process of examining large and varied data sets to uncover hidden patterns, correlations, and insights.
The practice of measuring and analyzing data about digital product adoption, usage, and performance to inform business decisions.
A graphical representation of the distribution of numerical data, typically showing the frequency of data points in successive intervals.
The systematic computational analysis of data or statistics to understand and improve business performance.
Data points that differ significantly from other observations and may indicate variability in a measurement, experimental errors, or novelty.