What are the 7 Vs of Big Data?

To determine the difference between regular data analysis and Big data is defined by the number of characteristics known as the 7 Vs.

7 characteristics

VISUALIZATION

It is essential in today's world for the use of large amounts of data, it is better to use graphs and tables rather than reports full of numbers and formulas.

Example

Charts and graphs

VALUE OF BIG DATA

Contains a large amount of valuable information that is stored for a daily challenge.

Example

VERACITY OF BIG DATA

Refers to the high quality of the data being analyzed, high veracity contains records that are valuable and contribute to overall results.

Example

An example of a high veracity data set
would be data from a medical experiment or trial.ópico

VELOCITY

Velocity represents the speed at which data is processed and becomes accessible.

Example

Today, if delivery is not real-time, it’s usually not fast enough.

VARIETY OF BIG DATA

Variety makes Big Data great. Big Data processes a wide variety of data and is divided into 3 types: structured, semi-structured and unstructured.

Example

CCTV videos generated in different parts of the cityópico

VELOCITY OF BIG DATA

Refers to the speed of data generation. the data needs a different technique to distribute it at high speed.

Example

the speed with which they load messages and publications

VOLUME OF BIG DATA

It refers to the volume and amount of data that needs to be analyzed, which is much larger, usually exceeding terabytes and petabytes, and which would take much longer to process if attempted on ordinary processors.

Example

all daily credit card transactions in europe