531 Paper1
CPSC 531 Assignment-1 Big Data Application in Retail By Usha Paniram Brahma CWID: 802173195
California State University, Fullerton
Computer Science Department Professor: Dr. Chun-I Philip Chen February 17, 2015
Table of Content
Abstract 4
1. Introduction 5
2. Literature Review 6
2.1 Definitions 6
2.1.1 Big Data Analytics 6
2.1.2 IT Technology and Frameworks in Consideration 8
2.1.2.1 Map Reduce 8
2.1.2.2 Hadoop 9
3. Apache Hadoop for Retail 10
4. Critique and Limitations of Technology 11
5. Current Stage of Big Data in Retail 11
6. Future direction for Big Data in Retail 12
7. Discussion 13
8. Conclusion and Implications 14
REFERENCES 16
List of Figures
Fig 1: Map Reduce………………………………………………………….5
Fig 2: Architecture of Hadoop System ……………………………………..8
Abstract
To enhance the competition, ambition and efficiency, the realm of retail, like many other industries have accrued a range of software applications over time from the warehouse to the point of sale. Big Data can launch merchandising and operational effectiveness that reduce costs; lead to a plan of action to understand customers even before they realize what they want and provide information to considerably revise marketing, sales and customer relationships. However, deploying Big Data applications and infrastructure to underpin them can result in a
California State University, Fullerton
Computer Science Department Professor: Dr. Chun-I Philip Chen February 17, 2015
Table of Content
Abstract 4
1. Introduction 5
2. Literature Review 6
2.1 Definitions 6
2.1.1 Big Data Analytics 6
2.1.2 IT Technology and Frameworks in Consideration 8
2.1.2.1 Map Reduce 8
2.1.2.2 Hadoop 9
3. Apache Hadoop for Retail 10
4. Critique and Limitations of Technology 11
5. Current Stage of Big Data in Retail 11
6. Future direction for Big Data in Retail 12
7. Discussion 13
8. Conclusion and Implications 14
REFERENCES 16
List of Figures
Fig 1: Map Reduce………………………………………………………….5
Fig 2: Architecture of Hadoop System ……………………………………..8
Abstract
To enhance the competition, ambition and efficiency, the realm of retail, like many other industries have accrued a range of software applications over time from the warehouse to the point of sale. Big Data can launch merchandising and operational effectiveness that reduce costs; lead to a plan of action to understand customers even before they realize what they want and provide information to considerably revise marketing, sales and customer relationships. However, deploying Big Data applications and infrastructure to underpin them can result in a
References: http://www.ibmbigdatahub.com/interactive/big-data-retail-industry Rabi Prasad Padhy (2013) Big data with Hadoop and Map Reduce http://www.iaesjournal.com/online/index.php/IJ-CLOSER/article/view/1508/pdf