Data Warehouse Performance Efficiency using Snowflake and Bitmap Index

  • Authors

    • M Benjelloun
    • M El Merouani
    • E Aoulad Abdelouarit
    2018-11-27
    https://doi.org/10.14419/ijet.v7i4.16.27845
  • Data warehouse, Business Intelligence, Index.

  • Designing a Data warehouse is the main mission done by DBA; Testing the data warehouse performance efficiency is also done while going to production. Actually, hardware has developed in term of memory volume, speed and storage, but for the specialists, the objective is still to minimize the execution time and the storage space. The paper shows that using bitmap index and partitioned fact tables in big data warehouses volumes based on a snowflake schema is advantageous based on query execution time.

     

     

     

  • References

    1. [1] M. Benjelloun, M. El Merouani and E. A. Abdelouarit. Using Snowflake Schema and Bitmap Index for Big Data Warehouse Volume. International Journal of Computer Applications 180(8):30-32, December 2017

      [2] M. Benjelloun, M. El Merouani and E. A. Abdelouarit. Impact of using Snowflake schema and Bitmap index on Data warehouse querying. International Journal of Computer Applications 180(15):33-35, January 2018

      [3] E. Abdelouarit, M. El Merouani, A. Medouri, The bitmap index advantages on the data warehouses American Academic & Scholarly Research Journal Vol. 6, No. 4, July 2014

      [4] E. Abdelouarit, M. El Merouani, A. Medouri, Data Warehouse Tuning: The Supremacy of Bitmap Index International Journal of Computer Applications (0975 – 8887) Volume 79 – No7, October 2013.

      [5] E. Abdelouarit, M. El Merouani, A. Medouri, The impact of indexes on data warehouse performance IJCSI International Journal of Computer Science Issues, Vol. 10, Issue 5, No 2, September 2013.

      [6] E. Abdelouarit, M. El Merouani, A. Medouri, OPTIMISATION DES PERFORMANCES DES ENTREPÔTS Rev. Ivoir. Sci. Technol., 20 (2012) 35 - 67 ISSN 1813-3290, http://www.revist.ci

      [7] S. Chaudhuri, U. Dayal,An Overview of Data Warehousing and OLAP Technology., ACM SIGMOD RECORD. 1997

      [8] E. E-O’Neil and P. P-O’Neil, Bitmap index design choices and their performance impli-cations, Database Engineering and Applications Symposium. IDEAS 2007. 11th International, pp. 72-84.

      [9] R. Kimball, L. Reeves, M. Ross, The Data Warehouse Toolkit. John Wiley Sons, NEW YORK, 2nd edition, 2002.

      [10] W. Inmon, Building the Data Warehouse., John Wiley Sons, fourth edition, 2005.

      [11] C. DELLAQUILA and E. LEFONS and F. TANGORRA, Design and Implementation of a National Data Warehouse. Proceedings of the 5th WSEAS Int. Conf. on Artificial Intelligence, Knowledge Engineering and Data Bases, Madrid, Spain, February 15-17, 2006 pp. 342-347.

      [12] R. Kimball and K. Strehlo. Why decision support fails and how to fix it. SIGMOD Record, 24(3) :92–97, September 1995.

      [13] E. Sidi, E. Abdelouarit, M. El Merouani, Star Schema Advantages on Data Warehouse: Using Bitmap Index and Partitioned Fact Tables, International Journal of Computer Applications (973-93-80890-95-3) Volume 134 – No13, January 2016.

      [14] E. Sidi, E. Abdelouarit, M. El Merouani, The Impact of Partitioned Fact Tables and Bitmap Index on Data Warehouse Performance, International Journal of Computer Applications (973-93-80891-16-1) Volume 135 – No13, February 2016.

  • Downloads

  • How to Cite

    Benjelloun, M., El Merouani, M., & Aoulad Abdelouarit, E. (2018). Data Warehouse Performance Efficiency using Snowflake and Bitmap Index. International Journal of Engineering & Technology, 7(4.16), 258-259. https://doi.org/10.14419/ijet.v7i4.16.27845