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Volumn 54, Issue 6, 2011, Pages 114-123

Dremel: Interactive analysis of web-scale datasets

Author keywords

[No Author keywords available]

Indexed keywords

AD-HOC QUERIES; AGGREGATION QUERIES; DATA LAYOUTS; DATA SETS; INTERACTIVE ANALYSIS; NESTED DATA; PETABYTES;

EID: 79959994168     PISSN: 00010782     EISSN: 15577317     Source Type: Journal    
DOI: 10.1145/1953122.1953148     Document Type: Article
Times cited : (93)

References (24)
  • 3
    • 79957809015 scopus 로고    scopus 로고
    • HadoopDB: An architectural hybrid of MapReduce and DBMS technologies for analytical workloads
    • Abouzeid, A., Bajda-Pawlikowski, K., Abadi, D.J., Rasin, A., Silberschatz, A. HadoopDB: An architectural hybrid of MapReduce and DBMS technologies for analytical workloads. VLDB 2, 1 (2009).
    • (2009) VLDB , vol.2 , pp. 1
    • Abouzeid, A.1    Bajda-Pawlikowski, K.2    Abadi, D.J.3    Rasin, A.4    Silberschatz, A.5
  • 6
    • 79959951065 scopus 로고    scopus 로고
    • BigQuery. http://code.google.com/ apis/bigquery.
    • BigQuery
  • 10
    • 84976773621 scopus 로고
    • A recursive algebra and query optimization for nested relations
    • Colby, L.S. A recursive algebra and query optimization for nested relations. In SIGMOD, 1989.
    • (1989) SIGMOD
    • Colby, L.S.1
  • 11
    • 79960001744 scopus 로고    scopus 로고
    • Challenges in building large-scale information retrieval systems: Invited talk
    • Dean. J., Challenges in building large-scale information retrieval systems: Invited talk. In WSDM,2009.
    • (2009) WSDM
    • Dean, J.1
  • 12
    • 85030321143 scopus 로고    scopus 로고
    • MapReduce: Simplified data processing on large clusters
    • Dean, J., Ghemawat, S. MapReduce: Simplified data processing on large clusters. In OSDI, 2004.
    • (2004) OSDI
    • Dean, J.1    Ghemawat, S.2
  • 13
    • 73649114265 scopus 로고    scopus 로고
    • MapReduce: A Flexible data processing tool
    • Dean, J., Ghemawat, S. MapReduce: A Flexible data processing tool. Commun. ACM 53, 1 (2010).
    • (2010) Commun. ACM , vol.53 , pp. 1
    • Dean, J.1    Ghemawat, S.2
  • 16
    • 79960027251 scopus 로고    scopus 로고
    • Hive. http://wiki.apache.org/hadoop/Hive, 2009.
    • (2009) Hive
  • 17
    • 0039785296 scopus 로고    scopus 로고
    • XMill: An efficient compressor for XML data
    • Liefke, H., Suciu, D. XMill: An efficient compressor for XML data. In SIGMOD, 2000.
    • (2000) SIGMOD
    • Liefke, H.1    Suciu, D.2
  • 21
    • 30344452311 scopus 로고    scopus 로고
    • Interpreting the data: Parallel analysis with Sawzall
    • Pike, R., Dorward, S., Griesemer, R., Quinlan, S. Interpreting the data: Parallel analysis with Sawzall. Sci. Program. 13, 4 (2005).
    • (2005) Sci. Program. , vol.13 , pp. 4
    • Pike, R.1    Dorward, S.2    Griesemer, R.3    Quinlan, S.4
  • 24
    • 70350591395 scopus 로고    scopus 로고
    • DryadLINQ: A system for general-purpose distributed data-parallel computing using a high-level language
    • Yu, Y., Isard, M., Fetterly, D., Budiu, M., Erlingsson, U., Gunda, P.K., Currey, J. DryadLINQ: A system for general-purpose distributed data-parallel computing using a high-level language. In OSDI, 2008.
    • (2008) OSDI
    • Yu, Y.1    Isard, M.2    Fetterly, D.3    Budiu, M.4    Erlingsson, U.5    Gunda, P.K.6    Currey, J.7


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.