BIG DATA

BIG DATA

Data that is high volume, high velocity and high variety must be processed with advanced tools (analytics and algorithms) to reveal meaningful information. Because of these characteristics of the data, the knowiedge domain that deals with the storage, processing, and analysis of these data sets has been labeled Big Data.

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

VOLUME

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

VARIABILITY

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

VALUE

The potential insights and variations in data flow rates, leading to peaks and froughs in data generation it also refers to the changeability in the meaning of the data over time.

VERACITY

The potential insights and benefits that can be derived from analyzing big data.

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 tirosly decisions.