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Big Data is data but
with a huge size. Big Data is a term used to describe a collection
of data that is huge in size and always growing exponentially with time. In short
such data is so large and complex that none of the traditional data management
tools are able to store it or process it efficiently. That why we need Big Data
analytics to make sure that all the important data are well managed.
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. Hence, 'Volume' is one characteristic which needs to
be considered while dealing with Big Data.
'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.
The term '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.
Big Data
Velocity deals with the speed at which data flows in from sources like business
processes, application logs, networks, and social media sites, sensors, mobile
devices, etc. The flow of data is massive and continuous.
This refers to
the inconsistency which can be shown by the data at times, thus hindering the
process of being able to handle and manage the data effectively.
Credit to: https://www.guru99.com/what-is-big-data.html
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