Big data

information assets characterized by such a high volume, velocity, and variety to require specific technology and analytical methods for its transformation into value

Big data is a term used for certain database systems. It is used for a number of technologies which help to organize, gather and analyse data.

At least some of the following characteristics apply:[1]

  • There are huge amounts of data
  • The data changes very often
  • It is difficult to structure the data so that it can be used easily


Big data is used to analyse different subjects. Through the analysis, new information can be gained. Bigger amounts of data make it easier to find reliable information. It is used in many different areas, such as government, health care, insurance, media, advertisement and information technology.


The data is gathered among other things through:


Big data has been criticised for different reasons. One prominent criticism is the increasing surveillance to gather data, which takes place in many new forms. Edward Snowden has revealed how the American National Security Agency (NSA) uses digital technology to spy on people around the world. Another prominent criticisms is data privacy, which is about the risk of sensitive personal data leaking because it is not protected well enough.

A more fundamental critique of big data is just because it is bigger, it is not automatically better. The quality of the data still has to be controlled. It also says that data analysis can only ask "what" is happening, but not "why" it is happening.


  1. "Big Data - Definition and 4 V's | Data Basecamp". 2021-11-26. Retrieved 2022-07-15.