Big Data
Extremely large data sets that can be analyzed computationally to reveal patterns, trends, and associations.
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.
A professional who designs, builds, and maintains systems for processing large-scale data sets.
The process of making predictions about future trends based on current and historical data.
A graphical representation of the distribution of numerical data, typically showing the frequency of data points in successive intervals.
The interpretation of historical data to identify trends and patterns.
A statistical measure that quantifies the amount of variation or dispersion of a set of data values.
An interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.
The process of examining large and varied data sets to uncover hidden patterns, correlations, and insights.