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  • 标题:A Study on Big Data Integration with Data Warehouse
  • 本地全文:下载
  • 作者:T.K.Das ; Arati Mohapatro
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2014
  • 卷号:9
  • 期号:4
  • 页码:188-192
  • DOI:10.14445/22312803/IJCTT-V9P137
  • 出版社:Seventh Sense Research Group
  • 摘要:The amount of data in world is exploding. Data is being collected and stored at unprecedented rates. The challenge is not only to store and manage the vast volume of data, but also to analyze and extract meaningful value from it. In the last decade Data Warehousing technology has been evolved for efficiently storing the data from different sources for business intelligence purpose. In the Age of the Big Data, it is important to remodel the existing warehouse system that will help you and your organization make the most of unstructured data with your existing Data Warehouse. As Big Data continues to revolutionize how we use data, this paper addresses how to leverage big data by effectively integrating it to your data warehouse.
  • 关键词:Big Data; Data warehouse; Hadoop
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