Characteristics of Big Data Analysis (including visualisations)
The following characteristics are associated with big data analysis:
Volume: Big
data refers to big and complicated data collections for which typical data
processing technologies are insufficient.
Text, photos,
videos, and social media postings are examples of organised, semi-structured,
and unstructured data in big data.
The velocity
with which big data is created and processed is significant, necessitating
real-time processing and analysis.
The veracity of
large data might be questionable, making it difficult to trust its accuracy.
Visualisation:
The use of visualisations to display and understand data in a meaningful way is
an important part of big data analysis. This enables the discovery of patterns,
trends, and linkages that would be difficult to notice otherwise. Visualisations,
which include graphs, charts, heat maps, and dashboards, may be used to show
data in an easy-to-understand and conveyable format. These visualisations may be used
to convey information and inform decision-making.
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