Table of Contents
What Type of Data Is Used in Hadoop’s Customer Complaint Analysis Project?
Discover the type of data analyzed in Hadoop’s Customer Complaint Analysis project—retail customer complaint records from multiple locations processed with Hive and Pig to uncover service patterns and improve customer experience.
Question
Which type of data is primarily analyzed in the Customer Complaint project?
A. System error logs from Hadoop jobs
B. Retail customer complaint records from different locations
C. Structured employee attendance logs
D. Semi-structured XML configuration data
Answer
B. Retail customer complaint records from different locations
Explanation
The Customer Complaint Analysis project primarily deals with large volumes of retail customer complaint records collected from multiple locations. This data typically includes textual feedback, complaint categories, product or service references, timestamps, and geographical details. The goal is to store, process, and analyze this semi-structured and unstructured data using Hadoop tools like Hive and Pig to identify patterns, recurring issues, and customer sentiment trends that inform quality improvements and business strategy.