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文章基本信息

  • 标题:Approaches for parallel data loading and data querying
  • 本地全文:下载
  • 作者:Vlad DIACONITA
  • 期刊名称:Database Systems Journal
  • 电子版ISSN:2069-3230
  • 出版年度:2015
  • 卷号:VI
  • 期号:1
  • 页码:78-85
  • 出版社:Bucharest Academy of Economic Studies Publishing House
  • 摘要:This paper aims to bring contributions in data loading and data querying using products from the Apache Hadoop ecosystem. Currently, we talk about Big Data at up to zettabytes scale (1021 bytes). Research in this area is usually interdisciplinary combining elements from statistics, system integration, parallel processing and cloud computing.
  • 关键词:Hadoop; loading data; Sqoop; Tez.
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