Question

In Big Data environments, Velocity refers

a. Enormous datasets can accumulate within very short periods of time
b. Velocity of data translates into the amount of time it takes for the data to be processed
C. Data can arrive at fast speed
d. All of the mentioned above

Answer 1

In the Big Data context, 'velocity' refers to the speed at which data is accumulated, arrives, and is processed, encompassing all aspects mentioned in the given options.

Step-by-step explanation:

In Big Data environments, velocity refers to the speed at which data is generated, collected, and processed. Among the options provided, the answer is (c) Data can arrive at a fast speed, but it's also worth noting that options (a) and (b) are inherently related to the concept of velocity in Big Data. To clarify, velocity in the context of Big Data includes:

• The rapid accumulation of data within very short time frames, which aligns with option (a).
• The fast rate at which data arrives, as stated in option (c).
• The processing speed to manage and analyze this data effectively, indirectly related to option (b).

Therefore, the comprehensive understanding of velocity in Big Data encompasses all mentioned aspects: accumulation rate, incoming data speed, and processing time. While not explicitly stated in the options, the concept of velocity is multidimensional in this context.