3Vs OF BIG DATA
Big Data: The 3Vs
The following 3 dimensions are commonly used to define more precisely what these Big Data are and to know the challenges that companies are facing (these dimensions are usually called the 3 Vs of Big Data):
The 3 dimensions of Big Data
Volumes of Big Data data are huge and constantly growing. These volumes are expressed in terabytes (noted Tb) and even petabytes (noted Po).
These Big Data can be found in varied formats: What is common between a video, a song, a message on Twitter, a photo posted online, a post on a Facebook page or a measure on an electric meter for example.
The velocity dimension is the speed at which must be collected, analyzed and used big data. More than often, these data are to be processed in real time.
Two other dimensions were added later to these 3 initials dimensions of Big Data (all five dimensions are also referred to as as the “5 V Big Data”):
Veracity refers to data reliability and accuracy. With so many various forms of data, it becomes more and more difficult to control data quality and accuracy (just imagine Facebook or Twitter messagess with abbre8viations, slang words, hash tags and typos). But today, thanks to data and analysis technology it is possible to work with this type of data.
This dimension focuses on a surprising aspect of Big Data. In many situations, a small amount of data may not have much interest, whereas a huge data volumme can make sense. This is the case for example of a tweet on a current event. The content of the tweet in itself may not have great importance, but if the tweet is commented thousands of times, the number of messages associated with this tweet that becomes valuable information (an opinion shared by many, a subject that is consensus or controversy …).
See also: Big Data Definition