Big Data
Big Data, data sets, patterns, analysis, volume, variety, velocity, variability, veracity, computational, trends, human behaviour
What is BIG DATA?
Extremely large data sets that may be analysed computationally to reveal patterns, trends, and associations, especially relating to human behaviour and interactions.
Characteristics of Big Data
Big data can be described by the following characteristics:
Volume
The quantity of generated and stored data. The size of the data determines the value and potential insight- and whether it can actually be considered big data or not.
Variety
The type and nature of the data. This helps people who analyze it to effectively use the resulting insight.
Velocity
In this context, the speed at which the data is generated and processed to meet the demands and challenges that lie in the path of growth and development.
Variability
Inconsistency of the data set can hamper processes to handle and manage it.
Veracity
The quality of captured data can vary greatly, affecting accurate analysis.
Extremely large data sets that may be analysed computationally to reveal patterns, trends, and associations, especially relating to human behaviour and interactions.
Characteristics of Big Data
Big data can be described by the following characteristics:
Volume
The quantity of generated and stored data. The size of the data determines the value and potential insight- and whether it can actually be considered big data or not.
Variety
The type and nature of the data. This helps people who analyze it to effectively use the resulting insight.
Velocity
In this context, the speed at which the data is generated and processed to meet the demands and challenges that lie in the path of growth and development.
Variability
Inconsistency of the data set can hamper processes to handle and manage it.
Veracity
The quality of captured data can vary greatly, affecting accurate analysis.
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