Big Data is the topic of discussion in higher education
- 2. CHARACTERISTICS OF BIG DATA
- 3. VOLUME • The name Big Data itself is related to a size which is enormous. • Size of data plays a very crucial role in determining value out of data. Also, whether a particular data can actually be considered as a Big Data or not, is dependent upon the volume of data. • Hence, Volume is one characteristic which needs to be considered while dealing with Big Data solutions. • For example; • Organizational data • Social media data
- 4. VELOCITY • The term ‘velocity’ refers to the speed of generation of data. • How fast the data is generated and processed to meet the demands, determines real potential in the data. • Big Data Velocity deals with the speed at which data flows in from sources like business processes, application logs, networks, and social media sites, sensors, Mobile devices, etc. • The flow of data is massive and continuous.
- 5. VERACITY • When we are dealing with a high volume, velocity and variety of data, it is not possible that all of the data is going to be 100% correct, there will be dirty data. • The quality of the data being captured can vary greatly. • The data accuracy of analysis depends on the veracity of the source data.
- 6. VALUE • Value is the most important aspect in the big data. • Though, the potential value of the big data is huge. • It is all well and good having access to big data but unless we can turn it into value it is become useless. • It becomes very costly to implement IT infrastructure systems to store big data, and businesses are going to require a return on investment.