Customer Data Analysis Project using MapReduce, Hive, Pig

Course details

If you are new to Big Data HADOOP, Start course from Section 4. for detail Study of HADOOP you should go through Section 5, 6 and 7. In section 8 you will find all details of Mapreduce. In Section 9 you will find all details of HADOOP Installation & Configuration. If you want to study Apache PIG Please visit Section 10. We Implement of all HADOOP tools in our project named with: Customer Support Data Analysis Using Mapreduce,Hive and PIG. For this project you should visit Section 1, 2 & 3.

Project Description

In the past, marketers primarily relied on historical data to get a better understanding of customer behaviors after they happened, in order to do better the next time. But in an era of the empowered customers and mounting competition, there may not be a next time. Using today's analytics tools, marketers can gain insights into their customers' behaviors and experiences in real time by mining streaming data with Hadoop. This is a huge benefit, as it allows marketers to understand what is happening, as it's happening. Armed with real-time insights, businesses can take immediate and appropriate actions to help ensure an optimal user experience. Hadoop allows companies to scale their analytics efforts efficiently, providing broad insight with simultaneous data access.

In this course, Customer Complaints Analysis using Hadoop MapReduce, Pig and Hive, we analyse data like get the number of complaints filed under each product, get the total number of complaints filed from a particular location and get the list of complaints grouped by location which has no timely response etc.