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Volumn 2015-May, Issue , 2015, Pages 1357-1369

Apache tez: A unifying framework for modeling and building data processing applications

Author keywords

[No Author keywords available]

Indexed keywords

DATA TRANSFER; ENGINES; FAULT TOLERANCE; SCAFFOLDS; WINDOWS OPERATING SYSTEM; WOOL; YARN;

EID: 84952798078     PISSN: 07308078     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2723372.2742790     Document Type: Conference Paper
Times cited : (180)

References (38)
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    • https://issues.apache.org/jira/browse/HDFS-5851
    • A. Agarwal. https://issues.apache.org/jira/browse/hdfs-5851, 2014. https://issues.apache.org/jira/browse/HDFS-5851.
    • (2014)
    • Agarwal, A.1
  • 14
    • 77954948422 scopus 로고    scopus 로고
    • Nephele/PACTs: A programming model and execution framework for web-scale analytical processing
    • D. Battré, S. Ewen, F. Hueske, O. Kao, V. Markl, and D. Warneke. Nephele/PACTs: A programming model and execution framework for web-scale analytical processing. In SOCC, 2010.
    • (2010) SOCC
    • Battré, D.1    Ewen, S.2    Hueske, F.3    Kao, O.4    Markl, V.5    Warneke, D.6
  • 15
    • 79957872898 scopus 로고    scopus 로고
    • Hyracks: A flexible and extensible foundation for data-intensive computing
    • V. Borkar, M. Carey, R. Grover, N. Onose, and R. Vernica. Hyracks: A flexible and extensible foundation for data-intensive computing. In ICDE, 2011.
    • (2011) ICDE
    • Borkar, V.1    Carey, M.2    Grover, R.3    Onose, N.4    Vernica, R.5
  • 16
    • 84860687282 scopus 로고    scopus 로고
    • D. Borthakur. Hdfs architecture guide. HADOOP APACHE PROJECT http://hadoop. apache.org/common/docs/current/hdfs design. pdf, 2008.
    • (2008) Hdfs Architecture Guide
    • Borthakur, D.1
  • 21
    • 37549003336 scopus 로고    scopus 로고
    • MapReduce: Simplified data processing on large clusters
    • J. Dean and S. Ghemawat. MapReduce: simplified data processing on large clusters. Commun. ACM, 51, 2008.
    • (2008) Commun. ACM , vol.51
    • Dean, J.1    Ghemawat, S.2
  • 23
    • 84991773782 scopus 로고    scopus 로고
    • Apache drill: Interactive ad-hoc analysis at scale
    • M. Hausenblas and J. Nadeau. Apache drill: interactive ad-hoc analysis at scale. Big Data, 1(2):100-104, 2013.
    • (2013) Big Data , vol.1 , Issue.2 , pp. 100-104
    • Hausenblas, M.1    Nadeau, J.2
  • 24
    • 35448961922 scopus 로고    scopus 로고
    • Dryad: Distributed data-parallel programs from sequential building blocks
    • M. Isard, M. Budiu, Y. Yu, A. Birrell, and D. Fetterly. Dryad: distributed data-parallel programs from sequential building blocks. SIGOPS, 2007.
    • (2007) SIGOPS
    • Isard, M.1    Budiu, M.2    Yu, Y.3    Birrell, A.4    Fetterly, D.5
  • 25
    • 85084011754 scopus 로고    scopus 로고
    • Impala: A modern, open-source SQL engine for hadoop
    • M. Kornacker, A. Behm, V. Bittorf, and et al. Impala: A modern, open-source sql engine for hadoop. In CIDR, 2015.
    • (2015) CIDR
    • Kornacker, M.1    Behm, A.2    Bittorf, V.3
  • 35
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    • Yahoo Hadoop Platforms Team. Yahoo Betting on Apache Hive, Tez, and YARN, 2014. http://yahoodevelopers.tumblr.com/post/85930551108/yahoo-betting-on-apache-hive-tez-and-yarn.
    • (2014) Yahoo Betting on Apache Hive, Tez, and YARN


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.