When choosing data sources to be used within a big data architecture, which of the following data attributes MUST be considered to ensure data is not aggregated?

When choosing data sources to be used within a big data architecture, which of the following data attributes MUST be considered to ensure data is not aggregated?
A . Accuracy
B . Granularity
C . Consistency
D . Reliability

View Answer

Answer: B

Explanation:

Reference: https://www.techopedia.com/definition/31722/granular-data

Granularity is the level of detail or specificity of the data. Data that is not aggregated is data that has a high level of granularity, meaning it contains more information and can be analyzed in more ways.

Data that is aggregated is data that has a low level of granularity, meaning it has been summarized or combined and has lost some information. Therefore, when choosing data sources to be used within a big data architecture, the granularity of the data must be considered to ensure data is not aggregated.

Reference: Data Visualization Part 4: aggregation and granularity | by Kristi Pelzel | Upskilling | Medium

Data Prep 101: What is an aggregate function and how do you combine aggregated data? – Tableau Understanding Aggregation and Granularity in Data Analysis with Real World Examples | by Usha Vivek | Medium