Learn what sensor data means in Big Data Hadoop certification exams — specifically how demographic details like age, education, income, and marital status are used for development analysis in countries like the Philippines using MapReduce, Pig, and Hive.
Table of Contents
Question
Which of the following best describes “sensor data” in this context?
A. Data generated only by mobile phones
B. Data collected from satellites only
C. Data that captures details like age, education, income, and marital status
D. Data that is always structured in relational tables
Answer
C. Data that captures details like age, education, income, and marital status
Explanation
In the specific context of Big Data analysis for national development — particularly in a country like the Philippines — “sensor data” within this exam framework refers to socioeconomic and demographic data collected from the population, capturing attributes such as age, education level, income, and marital status. This type of data serves as the foundational input for Hadoop-based analysis pipelines that generate development insights. Options A and B are immediately eliminated because sensor data is not restricted to “only” mobile phones or “only” satellites — it originates from a wide variety of sources. Option D is also incorrect because sensor data is characteristically unstructured or semi-structured time-series data, and is definitively not always organized in relational tables — a key reason why distributed processing tools like Hadoop, MapReduce, Pig, and Hive are needed to handle it at scale.