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What Social Insight Is Derived From Analyzing Old Aged Divorced Women in Big Data?
Understand the critical social insights derived from Hadoop demographic analysis. Learn why old aged divorced women represent a vulnerable group needing welfare support in Big Data certification exams.
Question
What social insight was derived from the case of “old aged divorced women”?
A. They represent a vulnerable group needing welfare support
B. They are over-represented in education statistics
C. They have the highest income tax rates
D. They require additional database normalization
Answer
A. They represent a vulnerable group needing welfare support
Explanation
In Big Data and Hadoop use cases involving demographic analysis, the key social insight derived from identifying “old aged divorced women” is that they represent an economically vulnerable population highly likely to require targeted welfare support. Statistical data processed through Hadoop frequently reveals that older divorced women face significantly lower incomes and higher poverty rates compared to their married or widowed counterparts, primarily due to disrupted labor force participation, reduced pension accumulations, and historical gender wage gaps.
By using tools like MapReduce to isolate this specific demographic, governments and policymakers can design and allocate specialized resources—such as targeted Social Security benefits, housing assistance, and community support programs—to mitigate their financial insecurity. Option B is incorrect as this group is not typically over-represented in higher education statistics. Options C and D are incorrect because they have lower incomes (not higher tax rates) and database normalization is a technical process, not a “social insight.”