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Big Data

Last updatedUpdated: by Jakub Žovák · 1 min read

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created 26.10.2024, 16:24
modified 19.07.2026, 14:06
published Empty
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topics Big Data, Volume Velocity Variety, Data Processing
authors Empty
ai-assisted No

Big data is high-volume, high-velocity and/or high-variety information assets that demand cost-effective, innovative forms of information processing that enable enhanced insight, decision making, and process automation.

# Aspects of Big Data

# Volume

The name Big Data itself is related to a size which is enormous. Size of data plays a very crucial role in determining value out of data. Also, whether a particular data can actually be considered as a Big Data or not, is dependent upon the volume of data.

# Velocity

Refers to the speed of generation of data. How fast the data is generated and processed to meet the demands, determines real potential in the data.

# Variety

Variety refers to heterogeneous sources and the nature of data, both structured and unstructured. During earlier days, spreadsheets and databases were the only sources of data considered by most of the applications. Nowadays, data in the form of emails, photos, videos, monitoring devices, PDFs, audio, etc. are also being considered in the analysis applications. This variety of unstructured data poses certain issues for storage, mining and analyzing data.

# Variability

This refers to the inconsistency which can be shown by the data at times, thus hampering the process of being able to handle and manage the data effectively.