Question

A data base that contains a large volume of company data is known as a data

Answer 1

A database with a large volume of data is known as a 'Big Data' platform, as illustrated by the Sloan Survey, which collected data at 8 MB/s, accumulating over 15 TB, requiring supercomputers and advanced algorithms for analysis.

Step-by-step explanation:

A database that contains a large volume of company data is known as a 'Big Data' platform. In the context of the Sloan Survey, scientists dealt with an incredibly large volume of data, as much as 8 megabytes per second, totaling over 15 terabytes. This amount of data is comparable to the information contained in the Library of Congress. Managing, organizing, and analyzing such amounts of data present a significant challenge.

In the era of Big Data, fields like astronomy utilize supercomputers and advanced computer algorithms to process and derive scientific insights from vast datasets efficiently. The Sloan Survey highlights the shift towards Big Data and underlines the necessity for sophisticated tools and methodologies for data analysis in our modern information age.

Answer 2

A database with a large volume of data is known as a Big Data platform. The Sloan Survey example demonstrates the scale of Big Data, requiring advanced technology for management and analysis.

Step-by-step explanation:

Understanding Big Data:

A database that contains a large volume of company data is known as a Big Data platform. In the context of the Sloan Survey information, we can see the sheer magnitude of data involved in such databases. The data came in at an astonishing rate of 8 megabytes per second, which equates to 8 million numbers or characters every second. Over the entire project, the volume reached over 15 terabytes of data. To put this further into perspective, 15 terabytes is roughly equivalent to the information contained in the Library of Congress. Therefore, dealing with Big Data necessitates the use of supercomputers and sophisticated algorithms to effectively organize, sort, and extract valuable insights from this massive volume of information.