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Big Data
The term has been in use since the 1990s
Big data is data sets that are so big and complex that
traditional data-processing application software are
inadequate to deal with them.
Lately, the term "big data" tends to refer to the use
of predictive analytics, user behavior analytics, or
certain other advanced data analytics methods that
extract value from data, and seldom to a particular size
of data set
https://en.wikipedia.org/wiki/Big_data
Volume Variety
The quantity of generated The type and nature of the
and stored data. The size data. This helps people who
of the data determines the analyze it to effectively use
value and potential the resulting insight. Big
insight, and whether it can data draws from text,
images, audio, video; plus it
be considered big data or completes missing pieces
not. through data fusion.
Big data can be
described by the
following
characteristics
Velocity Veracity
In this context, the speed at which The data quality of
the data is generated and captured data can vary
processed to meet the demands greatly, affecting the
and challenges that lie in the path accurate analysis
of growth and development. Big
data is often available in real-time.
https://en.wikipedia.org/wiki/Big_data
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Benefits of Big Data Analysis for Modern
Enterprises
With high-
performance data Companies that take
mining, predictive advantage of all that
analytics, text mining, Big Data Analytics
forecasting, and Big Data Analytics solutions have to
optimization, enables enterprises to offer are better
enterprises that utilize analyze their data in positioned to
Big Data Analytics are full context quickly, optimize machine
able to drive and some offer real- learning and address
innovation and make time analysis. their Big Data needs
the best business in groundbreaking
decisions. ways.
https://www.ngdata.com/what-is-big-data-analytics/
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