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.
Artificially generated data that mimics real data, used for training machine learning models.
A professional responsible for designing and managing data structures, storage solutions, and data flows within an organization.
The practice of collecting, processing, and using data in ways that respect privacy, consent, and the well-being of individuals.
Quantitative data that provides broad, numerical insights but often lacks the contextual depth that thick data provides.
A graphical representation of the distribution of numerical data, typically showing the frequency of data points in successive intervals.
The ability of a system to maintain its state and data across sessions, ensuring continuity and consistency in user experience.