Table of Contents
What Is the Main Purpose of Customer Complaint Analysis in Hadoop Projects?
The Customer Complaint project uses Hadoop’s Pig and Hive to analyze large-scale complaint patterns and response times, generating location-specific insights for business improvements—core to Hive & Pig certification exam objectives.
Question
What is the main purpose of the Customer Complaint project?
A. To build a Spark-based recommendation engine
B. To analyze complaint patterns and response times using Hadoop tools
C. To automate SQL queries across multiple databases
D. To visualize daily customer purchases
Answer
B. To analyze complaint patterns and response times using Hadoop tools
Explanation
The main purpose of the Customer Complaint project in the Hadoop Projects: Analyze Big Data with Hive & Pig certification is to leverage Hadoop ecosystem tools like Pig for ETL processing and Hive for SQL-like analytics on large-scale retail complaint datasets stored in HDFS, extracting patterns such as frequent issue categories (e.g., delivery delays, product defects), response time metrics by location or product, and complaint volume trends over time to enable data-driven operational improvements. This involves Pig scripts for grouping complaints by city, filtering user-specified locations, and generating segmented reports, complemented by Hive tables for ad-hoc querying of structured aggregates, ultimately helping businesses prioritize high-impact fixes, reduce churn, and enhance customer satisfaction through actionable, scalable big data insights.