Skip to main content
SpringerLink
Log in

Data Warehousing in Cloud Environments

  • Living reference work entry
  • First Online:
Encyclopedia of Database Systems

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

Recommended Reading

  1. Abadi DJ. Data Management in the cloud: limitations and opportunities. IEEE Data Eng Bull. 2009;32(1):3–12.

    MathSciNet  Google Scholar 

  2. Abouzeid A, Bajda-Pawlikowski K, Abadi D, Silberschatz A, Rasin A. HadoopDB: an architectural hybrid of MapReduce and DBMS technologies for analytical workloads. PVLDB 2009;2(1):922–933. doi:10.14778/1687627.1687731.

    Google Scholar 

  3. Agarwal S, Mozafari B, Panda A, Milner H, Madden S, Stoica I. BlinkDB: queries with bounded errors and bounded response times on very large data. Eurosys 2013. doi:10.1145/2465351.2465355.

    Google Scholar 

  4. Armbrust M, Xin RS, Lian C, et al. Spark SQL: relational data processing in spark. SIGMOD 2015. doi:10.1145/2723372.2742797.

    Google Scholar 

  5. Chan L. Presto: interacting with petabytes of data at Facebook. 2016. https://www.facebook.com/notes/facebook-engineering/presto-interacting-with-petabytes-of-data-at-facebook/10151786197628920. Accessed 28 Jun 2016.

  6. Dean J, Ghemawat S. MapReduce: a flexible data processing tool. CACM 2010;53(1):72–77. doi:10.1145/1629175.1629198.

    Article  Google Scholar 

  7. Gupta A, Agarwal D, Tan D, et al. Amazon redshift and the case for simpler data warehouses. SIGMOD 2015. doi:10.1145/2723372.2742795.

    Google Scholar 

  8. Liu X, Thomsen C, Pedersen TB. ETLMR: a highly scalable dimensional ETL framework based on MapReduce. DaWaK 2011. doi:10.1007/978-3-642-23544-3_8.

    Google Scholar 

  9. Liu X, Thomsen C, Pedersen TB. CloudETL: scalable dimensional ETL for hive. IDEAS 2014. doi:10.1145/2628194.2628249.

    Google Scholar 

  10. Olston C, Reed B, Srivastava U, Kumar R, Tomkins A. Pig Latin: a not-so-foreign language for data processing. SIGMOD 2008. doi:10.1145/1376616.1376726.

    Google Scholar 

  11. Özcan F, Hoa D, Beyer KS, Balmin A, Liu CJ, Li Y. Emerging trends in the enterprise analytics: connecting Hadoop and DB2 warehouse. SIGMOD 2011. doi:10.1145/1989323.1989446.

    Google Scholar 

  12. Pavlo A, Paulson E, Rasin A, Abadi DJ, DeWitt DJ, Madden S, Stonebraker M. A comparison of approaches to large-scale data processing. SIGMOD 2009. doi:10.1145/1559845.1559865.

    Google Scholar 

  13. Pike R, Dorward S, Griesemer R, Quinlan S. Interpreting the data: parallel analysis with Sawzall. Sci Program. 2005;13(4):277–298.

    Google Scholar 

  14. Stonebreaker M, Abadi D, DeWitt DJ, Madden S, Paulson E, Pavlo A, Rasin A. MapReduce and parallel DBMSs: friends of foes? CACM 2010;53(1):64–71. doi:10.1145/1629175.1629197.

    Article  Google Scholar 

  15. Thusso A, Sarma JS, Jain N, Shao Z, Chakka P, Anthony S, et al. Hive – a warehousing solution over a Map-Reduce framework. VLDB 2009. doi:10.14778/1687553.1687609.

    Google Scholar 

  16. Xin R, Rosen J, Zaharia M, Franklin MJ, Shenker S, Stoica I. Shark: SQL and rich analytics at scale. SIGMOD 2013. doi:10.1145/2463676.2465288

    Google Scholar 

  17. Zaharia M, Chowdhury M, Das T, et al. Resilient distributed datasets: a fault-tolerant abstraction for in-memory cluster computing. NSDI 2012.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science, Aalborg University, Selma Lagerlöfs Vej 300, 9220, Aalborg, Denmark

    Christian Thomsen & Torben Bach Pedersen

Authors
  1. Christian Thomsen
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Torben Bach Pedersen
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Christian Thomsen .

Editor information

Editors and Affiliations

  1. Georgia Institute of Technology College of Computing, Atlanta, Georgia, USA

    Ling Liu

  2. University of Waterloo School of Computer Science, Waterloo, Ontario, Canada

    M. Tamer Özsu

Section Editor information

  1. Department of Computer Science, Aalborg University, Selma Lagerlöfs Vej 300, 9220, Aalborg, Denmark

    Torben Bach Pedersen

  2. DISI, University of Bologna, Viale Risorgimento, 2, 40136, Bologna, Italy

    Stefano Rizzi

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer Science+Business Media LLC

About this entry

Cite this entry

Thomsen, C., Pedersen, T.B. (2017). Data Warehousing in Cloud Environments. In: Liu, L., Özsu, M. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4899-7993-3_80623-1

Download citation

  • DOI: https://doi.org/10.1007/978-1-4899-7993-3_80623-1

  • Received:

  • Accepted:

  • Published:

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4899-7993-3

  • Online ISBN: 978-1-4899-7993-3

  • eBook Packages: Springer Reference Computer SciencesReference Module Computer Science and Engineering

Publish with us

Policies and ethics

Search

Navigation