A large amount of data often has valuable information, wich could be a challenge.
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.
Veracity refers to the quality of the data that is being analyzed.
Example
Data from a medical experiment or trial.
Is clasifided
Low veracity data
Contains a high percentage of meaningless data.
High veracity data
Has many records that are valuable to analyze and that contribute in a meaningful way to the overall results.
It makes Big Data really big, coming from a great variety of sources.
The sources are
Unstructured data
Structured
Example
Video files that are generated at
various locations in a city.
Semi structured
Velocity refers to the speed with which data is generated.
Example
Twitter messages or Facebook posts.
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.
Example
Credit card transactions on a day within Europe.
