Big data is a term for data sets that are so large or complex that traditional data processing application softwares are inadequate to deal with them. Challenges include capture, storage,analysis, data curation, search, sharing, transfer, visualization, querying, updating and information privacy. The term "big data" often refers simply to the use of predictive analytics, user behavior analytics, or certain other advanced data analytics methods that extract value from data, and seldom to a particular size of data set.
The quantity of generated and stored data. The size of the data determines the value and potential insight- and whether it can actually be considered big data or not.
The type and nature of the data. This helps people who analyze it to effectively use the resulting insight.
In this context, the speed at which the data is generated and processed to meet the demands and challenges that lie in the path of growth and development.
Inconsistency of the data set can hamper processes to handle and manage it.