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  • 标题:Research Paper on Big Data and Hadoop
  • 本地全文:下载
  • 作者:Iqbaldeep Kaur ; Navneet Kaur ; Amandeep Ummat
  • 期刊名称:International Journal of Computer Science & Technology
  • 印刷版ISSN:2229-4333
  • 电子版ISSN:0976-8491
  • 出版年度:2016
  • 卷号:7
  • 期号:4
  • 页码:50-53
  • 语种:English
  • 出版社:Ayushmaan Technologies
  • 摘要:‘Big Data’ describes techniques and technologies to store, distribute, manage and analyze large-sized datasets with high-velocity. Big data can be structured, unstructured or semi-structured, resulting in incapability of conventional data management methods. Data is generated from various different sources and can arrive in the system at various rates. In order to process these large amounts of data in an inexpensive and efficient way, parallelism is used.. Hadoop is the core platform for structuring Big Data, and solves the problem of making it useful for analytics purposes. Hadoop is an open source software project that enables the distributed processing of large data sets with a very high degree of fault tolerance.
  • 关键词:Big Data;Hadoop;Map Reduce;HDFS;Hadoop Components
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