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.
The practice of using data analytics and metrics to make informed decisions, focusing on measurable outcomes and efficiency rather than intuition or traditional methods.
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.
Quantitative data that provides broad, numerical insights but often lacks the contextual depth that thick data provides.
The systematic computational analysis of data or statistics to understand and improve business performance.
A role focused on driving user acquisition, engagement, and retention through data-driven strategies and experiments.
A research method that focuses on collecting and analyzing numerical data to identify patterns, relationships, and trends, often using surveys or experiments.