Big data

Veracity

The quality and trustworthiness of the data. With large volumes of data
coming from diverse sources, ensuring accuracy and reliability becomes a significant
challenge.

Variability

The inconsistencies and variations in data flow rates, leading to peaks and
troughs in data generation. It also refers to the changeability in the meaning of the data over
time.

Visualization

The techniques and tools used to represent the data in a way that is
understandable and actionable for users. This involves using charts, graphs, dashboards,
and other visual formats to convey insights effectively.

Volume

Refers to the vast amounts of data generated every second. This sheer scale
requires special technologies to store, manage, and analyze the data.

Variety

The different types of data sources and formats, such as structured data (like
databases), unstructured data (like text, images, videos), and semi-structured data (like
XML, JSON).

Velocity

The speed at which data is generated, collected, and analyzed. This aspect
emphasizes the need for real-time or near-real-time processing to make timely decisions.

Value

The potential insights and benefits that can be derived from analyzing big data.
It's about turning raw data into meaningful information that can drive business decisions.