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What Insight Does the “Child Labour” Big Data Use Case Provide in Hadoop?
Learn about the “Child Labour” use case in Big Data. Discover how Hadoop and MapReduce are used to identify under-18 individuals earning income against legal norms for your certification exam.
Question
What insight does the “Child Labour” use case provide?
A. Children’s health conditions in villages
B. Children’s performance in schools
C. Under-18 individuals earning income against legal norms
D. The percentage of children who watch TV
Answer
C. Under-18 individuals earning income against legal norms
Explanation
In the context of demographic Big Data analysis, the “Child Labour” use case focuses on identifying individuals under the age of 18 who are working and earning an income in violation of legal frameworks. This involves analyzing census, employment, or tax data to isolate minors whose reported working hours, industry type, or mere employment status breach local or international labor laws (such as the ILO conventions or the US Fair Labor Standards Act).
By querying the data for age alongside income or employment fields, analysts can map out regions, industries, or socio-economic conditions where illegal child labor is prevalent, providing actionable insights for government intervention and policy enforcement. Options A, B, and D are incorrect because while they relate to children, they describe health, education, and entertainment metrics, which have no direct correlation to the definition or analysis of child labor.