What is meant by the term 'big data'?

The term 'big data' refers to data sets that are characterized by their volume, velocity, and variety, which often makes them difficult to manage using traditional data processing techniques. The essence of big data lies in its large scale, the speed at which data is generated and processed, and the complexity that comes with various data types, including structured, semi-structured, and unstructured data.

In this context, the correct response highlights these key characteristics. The scale of big data can result in challenges related to storage, analysis, and the extraction of meaningful insights. Traditional database systems often struggle to keep up due to these factors, necessitating the use of more advanced technologies and frameworks designed specifically for handling such complexities.

Other options, like the notion of data being stored on a single server or being easily processed by traditional methods, fail to capture the essence of 'big data.' They imply limitations that do not align with the growth and characteristics associated with big data phenomena. Similarly, stating that big data is always structured overlooks the diverse types of data that contribute to the big data landscape.