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  • 标题:Data Compression on Columnar-Database Using Hybrid Approach (Huffman and Lempel-Ziv Welch Algorithm)
  • 本地全文:下载
  • 作者:Dalvir Kaur ; Kamaljeet Kaur
  • 期刊名称:International Journal of Advanced Research In Computer Science and Software Engineering
  • 印刷版ISSN:2277-6451
  • 电子版ISSN:2277-128X
  • 出版年度:2013
  • 卷号:3
  • 期号:5
  • 出版社:S.S. Mishra
  • 摘要:Columnar Oriented Database is an enhance approach to service to service the needs of Business Intelligence. A Columnar Oriented Database Management system that stores content by columns rather than the row. This type of data differs from traditional database with regards to performance, storage requirements and easy to modification of the schema. One of the major advantage of column based database approach has easiest to understand is its effect on compression and possible to apply compression algorithm for each column. Compression is a technology foe reducing the quantity of data used to represent any content without reducing the quality of the data. In this paper we used the data compression on columnar ¨Coriented database sing Hybrid approach. This consists of two lossless Algorithm Huffman Coding and Lempel-Ziv Welch Coding in MATLAB software.
  • 关键词:Columnar Database; coding; Decoding; Huffman coding; Hybrid approach; Lempel-Ziv Welch; Lossless ;compression.
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