Final answer:
The question's context focuses on Big Data challenges as exemplified by the Sloan Survey, which collected over 15 terabytes of data at a rate of 8 megabytes per second highlighting the need for advanced processing tools like supercomputers and computer algorithms.
Step-by-step explanation:
The question appears to be missing some details regarding the size range for the thirty files tested on an internal computer network. However, discussing the context of large-scale data management can be understood with reference to the Sloan Survey, which provides an excellent example of how entities handle massive amounts of data.
The Sloan Survey produced data at a rate of 8 megabytes per second, leading to a collective total of over 15 terabytes of data. This gargantuan amount of information is compared to the content of the Library of Congress and is emblematic of the challenges presented by Big Data in modern computing.
Managing such volumes necessitates the use of supercomputers and sophisticated computer algorithms to efficiently process and analyze the data. This is indicative of the broader trend across various fields, including astronomy, where the processing and sorting of large data sets is a critical task that defines the information age.