Application of Map Reducing Techniques in Online Food Marketing: An Algorithmic Approach
Main Article Content
Abstract
Food industry is dynamic industry as it depends highly on consumer interest and timing. Big Data Analytics can bring considerable revolution in food industry. It can be used to improve operational efficiency, timely delivery and also it can be used to personalize customer experience. In the field of marketing, Big Data Analytics helps in deciding pricing, demand forecasting as well as product promotion. The objective here is to show how Map Reduce technique can be used to process and analyze Big Data to extract useful information. This paper gives insight into use of Big Data Analytics in food marketing by analyzing huge amount of data using Big Data processing tool Apache Hadoop.
Downloads
Metrics
Article Details
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.