The difference between Small Data and Big data can be analyzed along dimensions referred to as the 4 Vs (Velocity, Volume, Variety, Veracity).
When thinking of sensor data for electricity consumption, what are the 2 dimensions referred to in the example below:
quantity of data accumulated over time / impact of some old sensors providing wrong readings

Question

The difference between Small Data and Big data can be analyzed along dimensions referred to as the 4 Vs (Velocity, Volume, Variety, Veracity). 
When thinking of sensor data for electricity consumption, what are the 2 dimensions referred to in the example below:
quantity of data accumulated over time / impact of some old sensors providing wrong readings

BlackTom AI · Accepted Answer

Let's break down the scenario and the 4 Vs to understand which pair fits the example given.
Option a) Veracity / Velocity: Veracity deals with data accuracy and trustworthiness, while Velocity concerns the speed of data generation and processing. The example mentions old sensors causing incorrect readings (veracity) but also discusses the rate at which data is accumulated over time (velocity). However, the question asks for the two dimensions described together in the example, and this pairing mixes veracity with velocity rather than pairing volume with veracity as in the intended emphasis.
Option b) Variety / Volume: Variety refers to the different data types and sources, while Volume measures how much data is produced. The electricity sensor scenario highlights accumulation over time (volume) and potential misreadings from old sensors (veracity), not variety. So this combination does not align with the example’s focus on data amount and data quality.
Option c) Velocity / Volume: Velocity is about the speed of data generation, and Volume is about the quantity of data. The example mentions data accumulated over time (volume) but emphasizes the impact of faulty readings from old sensors (veracity), not the speed of data flow. Therefore, this pairing misses the aspect of data quality highlighted in the scenario.
Option d) Volume / Veracity: Volume corresponds to the quantity of data accumulated over time, which matches the first part of the example. Veracity corresponds to the trustworthiness or accuracy of the data, which is tied to the impact of old sensors providing wrong readings, matching the second part of the example. This pair correctly captures both dimensions described in the scenario.
In summary, Option d correctly links the two dimensions highlighted by the example—how much data is produced over time (Volume) and how trustworthy that data is (Veracity)—whereas the other options mix in Velocity, Variety, or misalign the focus with data quality versus speed or type.

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