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.
The spread and pattern of data values in a dataset, often visualized through graphs or statistical measures.
A statistical phenomenon where two independent events appear to be correlated due to a selection bias.
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.
The practice of measuring and analyzing data about digital product adoption, usage, and performance to inform business decisions.
A statistical phenomenon where a large number of hypotheses are tested, increasing the chance of a rare event being observed.
A statistical distribution where most occurrences take place near the mean, and fewer occurrences happen as you move further from the mean, forming a bell curve.