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.
Quantitative data that provides broad, numerical insights but often lacks the contextual depth that thick data provides.
The process of examining large and varied data sets to uncover hidden patterns, correlations, and insights.
A professional responsible for designing and managing data structures, storage solutions, and data flows within an organization.
The interpretation of historical data to identify trends and patterns.
The spread and pattern of data values in a dataset, often visualized through graphs or statistical measures.
The practice of using data analytics and metrics to make informed decisions, focusing on measurable outcomes and efficiency rather than intuition or traditional methods.