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  • 标题:Moving from Heterogeneous Data Sources to Big Data: Interoperability and Integration Issues
  • 本地全文:下载
  • 作者:Mohamed Osman Hegazi ; Dinesh Kumar Saini ; Kashif Zia
  • 期刊名称:International Journal of Advanced Computer Science and Applications(IJACSA)
  • 印刷版ISSN:2158-107X
  • 电子版ISSN:2156-5570
  • 出版年度:2018
  • 卷号:9
  • 期号:10
  • DOI:10.14569/IJACSA.2018.091025
  • 出版社:Science and Information Society (SAI)
  • 摘要:Heterogeneous databases now facing an emerging challenge of moving towards big data. These databases are adhoc polyglot systems, complex, and NoSQL tools which are semantically annotated. Integration of these heterogeneous databases becoming very challenging because of big data analytics is integrating human and machines contexts. In this paper, an attempt is made to study heterogeneous databases and their interoperability issues and integration issues, their impact on analysis of data. The data science has grown exponentially and a new paradigm has emerged which is of integration of heterogeneous data to big data. Information, knowledge and decision making become easier but the size of databases has grown and it became big data.
  • 关键词:Heterogeneous databases; interoperability; integration; big data; analytics and intelligence
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