Discover why sensor data analysis in Big Data goes beyond storage and testing — learn how countries like the Philippines use Hadoop-powered insights to drive strategic development decisions and tackle real-world challenges.
Table of Contents
Question
What is the ultimate goal of sensor data analysis for a country like the Philippines?
A. To provide insights that support strategic decisions for development
B. To test the Hadoop installation on a cluster
C. To create sample demo files for practice
D. To reduce the storage requirements of sensor data
Answer
A. To provide insights that support strategic decisions for development
Explanation
Sensor data analysis in the context of a country like the Philippines focuses on transforming raw data collected from environmental, agricultural, infrastructure, or disaster-monitoring sensors into actionable intelligence. The Philippines, being a nation frequently affected by typhoons, flooding, and agricultural challenges, benefits tremendously from analyzing this data at scale using frameworks like Hadoop and MapReduce — not to test systems or manage storage, but to equip policymakers, government agencies, and planners with evidence-based insights that drive smarter decisions on disaster preparedness, resource allocation, and national development strategies. Options B, C, and D describe technical or practice-oriented tasks that are means to an end, never the ultimate goal of the analysis itself.