Классика баз данных - статьи


Литература


[1] Teradata Developer Exchange Teradata Developer Exchange.

[2] Teradata Online Documentation.

[3] A. Abouzeid, K. Bajda-Pawlikowski, D. Abadi, A. Silberschatz, and A. Rasin. Hadoopdb: an architectural hybrid of mapreduce and dbms technologies for analytical workloads. Proc. VLDB Endow., 2(1):922–933, 2009.
Перевод на русский язык: Азза Абузейд, Камил Байда-Павликовски, Дэниэль Абади, Ави Зильбершац, Александр Разин. HadoopDB: архитектурный гибрид технологий MapReduce и СУБД для аналитических рабочих нагрузок.

[4] R. Chaiken, B. Jenkins, P.-A. Larson, B. Ramsey, D. Shakib, S. Weaver, and J. Zhou. Scope: easy and efficient parallel processing of massive data sets. Proc. VLDB Endow., 1(2):1265–1276, 2008.

[5] L. Chu, H. Tang, and T. Yang. Optimizing data aggregation for cluster-based internet services . In In Proc. of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2003.

[6] Cloudera.

[7] DBInputFormat.

[8] J. Dean and S. Ghemawat. MapReduce: Simplified Data Processing on Large Clusters. OSDI ’04, pages 137–150.

[9] A. Gates, O. Natkovich, S. Chopra, P. Kamath, S. Narayanam, C. Olston, B. Reed, S. Srinivasan, and U. Srivastava. Building a highlevel dataflow system on top of mapreduce: The pig experience. PVLDB, 2(2):1414–1425, 2009.

[10] S. Ghemawat, H. Gobioff, and S.-T. Leung. The google file system. In SOSP ’03. Google, October 2003.

[11] Hadoop.

[12] J. N. Hoover. Start-ups bring google’s parallel processing to data warehousing. 2008.

[13] M. Isard, M. Budiu, Y. Yu, A. Birrell, and D. Fetterly. Dryad: Distributed data-parallel programs from sequential building blocks. In European Conference on Computer Systems (EuroSys), Lisbon, Portugal, March 21-23, 2007. Microsoft Research, Silicon Valley.

[14] C. Olston, B. Reed, U. Srivastava, R. Kumar, and A. Tomkins. Pig latin: a not-so-foreign language for data processing. In SIGMOD Conference, pages 1099–1110, 2008.

[15] A. Pavlo, E. Paulson, A. Rasin, D.J. Abadi, D.J. DeWitt, S.


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