Categories: All - volume - visualization - variety - veracity

by Gabriella Padilla 1 year ago

72

WHAT ARE THE 7 VS OF THE BIG DATA?

Big data refers to extremely large and complex data sets that are generated from various sources. These data sets require advanced techniques to manage, analyze, and extract valuable insights.

WHAT ARE THE 7 VS OF THE BIG DATA?

WHAT ARE THE 7 VS OF THE BIG DATA?

What is Big data? big data is larger, more complex data sets, especially from new data sources

7 Characteristics

VARIETY OF BIG DATA

Variety makes Big Data really big. Big Data comes from a great variety of sources and generally is one out of three types: structured, semi structured and unstructured data.

CCTV audio and video files that are generated at various locations in a city

VELOCITY

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

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

Veracity refers to the quality of the data that is being analyzed. High veracity data has many records that are valuable to analyze and that contribute in a meaningful way to the overall results.

Data from a medical experiment or trial

VALUE OF BIG DATA

A large amount of data often has valuable information, how to achieve that value efficiently is a daily challenge.

Subtopic
VISUALIZATION

Visualization is critical in today’s world. 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.

charts and graphs

VOLUME OF BIG 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.

All credit card transactions on a day within Europe

VELOCITY OF BIG DATA

Refers to the speed with which data is generated. High velocity data is generated with such a pace that it requires distinct (distributed) processing techniques.

Example

Twitter messages or Facebook posts