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  • 标题:Big Data and Hadoop for Productive Social Commerce: Trending in Social Media Users and Entrepreneurs
  • 本地全文:下载
  • 作者:Youn-Hwan Choi ; Mechelle Grace Zaragoza ; Deok Soo Han
  • 期刊名称:International Journal of Software Engineering and Its Applications
  • 印刷版ISSN:1738-9984
  • 出版年度:2016
  • 卷号:10
  • 期号:12
  • 页码:419-430
  • DOI:10.14257/ijseia.2016.10.12.35
  • 出版社:SERSC
  • 摘要:How does one start a new bus iness online without thinking about its profit. Numbers of retailers with limited research, or asking enough details and questions , to make sure their product is something that is more likely to be sold and if does one considers enough storage to ca ter each customer needs . Why do facebook and amazon require Big Data in their business online. Right now, aspiring entrepreneurs are planning their paths to a more produ ctive business using social commerce and taking it to the next level . It's a journey that requires a lot of hard work, and many people end up failing, but the business that is taking risks will end up reaping the cream of their crops. In this paper, we discuss the process of improving the production of an online business using big data in social media to increase sales and operating margin. That r etailer , using Big Data to its current potential could gain a competitive edge to possi bly gain oppo rtunities for business and customers. Thus, we identify the advantages of using big data in social commerce. We also include the Java - based programming framework (Hadoop) that supports the processing and storage of a large r data set in a distributed computing environment. Naming it as next - generation enterprise data architecture that links the systems business transactions and business intelligence.
  • 关键词:Social Commerce ; ; ; ; Social Media; ; Big Data ; ; Hadoop
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