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Volumn 2, Issue 1, 2009, Pages 922-933

HadoopDB: An architectural hybrid of mapreduce and DBMS technologies for analytical workloads

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SYSTEMS; EFFICIENCY; HYBRID SYSTEMS; INFORMATION MANAGEMENT; SCALABILITY; VIRTUAL REALITY;

EID: 79957809015     PISSN: None     EISSN: 21508097     Source Type: Conference Proceeding    
DOI: 10.14778/1687627.1687731     Document Type: Article
Times cited : (711)

References (25)
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    • Vertica
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    • What is the right way to measure scale? DBMS Musings Blog
    • D. Abadi. What is the right way to measure scale? DBMS Musings Blog. dbmsmusings.blogspot.com/2009/06/what-is-right-way-to-measure-scale.html.
    • Abadi, D.1
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    • Sorting 1pb with mapreduce
    • G. Czajkowski. Sorting 1pb with mapreduce. googleblog.blogspot.com/2008/11/sorting-1pb-with-mapreduce.html.
    • Czajkowski, G.1
  • 8
    • 85030321143 scopus 로고    scopus 로고
    • MapReduce: Simplified Data Processing on Large Clusters
    • J. Dean and S. Ghemawat. MapReduce: Simplified Data Processing on Large Clusters. In OSDI, 2004.
    • (2004) OSDI
    • Dean, J.1    Ghemawat, S.2
  • 9
    • 85039685849 scopus 로고    scopus 로고
    • MapReduce: A major step backwards. DatabaseColumn Blog
    • D. DeWitt and M. Stonebraker. MapReduce: A major step backwards. DatabaseColumn Blog. www.databasecolumn.com/2008/01/mapreduce-a-major-step-back.html.
    • DeWitt, D.1    Stonebraker, M.2
  • 11
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    • Facebook. Hive
    • Facebook. Hive. Web page. issues.apache.org/jira/browse/HADOOP-3601.
  • 12
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    • An Overview of The System Software of A Parallel Relational Database Machine
    • S. Fushimi, M. Kitsuregawa, and H. Tanaka. An Overview of The System Software of A Parallel Relational Database Machine. In VLDB '86, 1986.
    • (1986) VLDB
    • Fushimi, S.1    Kitsuregawa, M.2    Tanaka, H.3
  • 13
    • 85039680262 scopus 로고    scopus 로고
    • Hadoop Project. Hadoop Cluster Setup
    • Hadoop Project. Hadoop Cluster Setup. Web Page. hadoop.apache.org/core/docs/current/cluster_setup.html.
  • 14
    • 84858671115 scopus 로고    scopus 로고
    • Cooperative expendable micro-slice servers (cems): Low cost, low power servers for internet-scale services
    • J. Hamilton. Cooperative expendable micro-slice servers (cems): Low cost, low power servers for internet-scale services. In Proc. of CIDR, 2009.
    • (2009) Proc. of CIDR
    • Hamilton, J.1
  • 15
    • 85039675759 scopus 로고    scopus 로고
    • Hive Project. Hive SVN Repository. Accessed May 19th 2009
    • Hive Project. Hive SVN Repository. Accessed May 19th 2009. svn.apache.org/viewvc/hadoop/hive/.
  • 16
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    • Start-Ups Bring Google's Parallel Processing To Data Warehousing
    • InformationWeek, August 29th
    • J. N. Hoover. Start-Ups Bring Google's Parallel Processing To Data Warehousing. InformationWeek, August 29th, 2008.
    • (2008)
    • Hoover, J.N.1
  • 17
    • 81055131284 scopus 로고    scopus 로고
    • Database parallelism choices greatly impact scalability
    • DatabaseColumn Blog
    • S. Madden, D. DeWitt, and M. Stonebraker. Database parallelism choices greatly impact scalability. DatabaseColumn Blog. www.databasecolumn.com/2007/10/database-parallelism-choices.html.
    • Madden, S.1    DeWitt, D.2    Stonebraker, M.3
  • 18
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    • Mayank Bawa. A $5.1M Addendum to our Series B.
    • Mayank Bawa. A $5.1M Addendum to our Series B. www.asterdata.com/blog/index.php/2009/02/25/a-51m-addendum-to-our-series-b/.
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    • C. Monash. The 1-petabyte barrier is crumbling
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    • Cloudera presents the MapReduce bull case. DBMS2 Blog
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  • 25
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    • Worldwide data warehousing tools 2005 vendor shares
    • Technical Report 203229, IDC, August
    • D. Vesset. Worldwide data warehousing tools 2005 vendor shares. Technical Report 203229, IDC, August 2006.
    • (2006)
    • Vesset, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.