7 vs of Big Data

Big Data encompasses a wide array of concepts crucial for understanding and leveraging its potential. Key aspects include the substantial value drawn from large datasets, which can present challenges in extraction and utilization.

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7 vs of Big Data

Volumen of Big Data

The volume of data refers to the size of the data sets that need to be analyzed and processed, which are now frequently larger than terabytes and petabytes.

Credit card transactions on a day within Europe.

Velocity of Big Data

Velocity refers to the speed with which data is generated.

Twitter messages or Facebook posts.

Variety of Big Data

It makes Big Data really big, coming from a great variety of sources.

The sources are

Semi structured

Structured

Example

Video files that are generated at various locations in a city.

Unstructured data

Veracity of Big Data

Veracity refers to the quality of the data that is being analyzed.

Is clasifided

High veracity data

Has many records that are valuable to analyze and that contribute in a meaningful way to the overall results.

Low veracity data

Contains a high percentage of meaningless data.

Example

Data from a medical experiment or trial.

Visualization

Using charts and graphs to visualize large amounts of complex data is much more effective in conveying meaning than spreadsheets and reports chock-full of numbers and formulas.

Value of Big Data

A large amount of data often has valuable information, wich could be a challenge.

7 vs of Big Data

Big Data encompasses a wide array of concepts crucial for understanding and leveraging its potential. Key aspects include the substantial value drawn from large datasets, which can present challenges in extraction and utilization.