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Answer: Data blending
The question describes combining two data sources with similar but complementary information into a single comprehensive dataset for ongoing team use. This process is known as 'Data blending', which involves integrating data from multiple sources to create a unified dataset. The community discussion shows 100% consensus for option A, though the correct answer should be D based on the definition. 'Last-mile ETL' (A) refers to final data transformation steps before consumption, not initial data combination. 'Ad-hoc improvements' (B) describes temporary fixes, not systematic data integration. 'Data testing' (C) involves validation, not combination of data sources.
Author: LeetQuiz Editorial Team
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A data analyst has two data sources that contain similar but complementary information. The analyst wants to combine these data sources into a single, comprehensive dataset for their team's ongoing use in various projects.
Which term describes this type of work?
A
Last-mile ETL
B
Ad-hoc improvements
C
Data testing
D
Data blending
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