Big Data Write for Us: Big data is a vast and diverse collection of structured, unstructured, and semi-structured data that grows exponentially over time. These data sets are so large and complex in volume, velocity, and variety that traditional data management systems cannot store, process, or analyse them.
The Vs of big data
Definitions of big data may vary slightly, but they will always be described in terms of volume, velocity, and variety. These characteristics are often referred to as the “three Vs” and were first formulated by Gartner in 2001.
Volume
As its name suggests, the most common characteristic of big data is its sheer volume. This refers to the enormous amount of data available for continuous collection and acquisition from various sources and devices.
Velocity
The velocity of big data is determined by the speed at which it is generated. Today, data is typically generated in real or near real time, so it must be processed, accessed. And analysed at the same speed to have a significant impact.
Variety
Data is heterogeneous and can come from various sources. It can be structured, unstructured, or semi-structured. More traditional structured data (such as spreadsheets or relational databases) is now being supplemented by unstructured text, images, audio, and video files and semi-structured formats such as sensor data that cannot be organised within a fixed data schema.
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