Question

Big data brings with it three requirements: volume (the ability to store massive amounts of data), velocity (the ability to refresh data rapidly), and variety. What does variety refer to?

Importing, storing, and integrating data in different formats
Integrating data from devices made from different manufacturers
Collecting data from networks composed of highly dispersed points
Data that can be used for multiple purposes (e.g., business analysis and employee engagement)

Answer 1

Variety in the context of big data refers to the different formats in which data can be imported, stored, and integrated.

Step-by-step explanation:

The term variety in the context of big data refers to the different formats in which data can be imported, stored, and integrated. It includes data in various formats such as text, images, videos, audio, and many more. Big data systems need to be able to handle and process these diverse types of data efficiently.

For example, in the field of astronomy, scientists collect data from various sources like telescopes, satellites, and observatories. This data may include images, spectrographs, and sensor readings, which all need to be stored and analyzed as part of the big data process.

The variety of data adds complexity to the management and analysis of big data, as different formats may require different processing techniques and tools.

Option Importing, storing, and integrating data in different formats is correct.