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Building a Document-Oriented Warehouse Using NoSQL

Author

Listed:
  • Ines Ben Messaoud

    (University of Gabes, Tunisia)

  • Abdulrahman A. Alshdadi

    (University of Jeddah, Saudi Arabia)

  • Jamel Feki

    (University of Jeddah, Saudi Arabia)

Abstract

The traditional data warehousing approaches should adapt to take into consideration novel needs and data structures. In this context, NoSQL technology is progressively gaining a place in the research and industry domains. This paper proposes an approach for building a NoSQL document-oriented warehouse (DocW). This approach has two methods, namely 1) document warehouse builder and 2) NoSQL-Converter. The first method generates the DocW schema as a galaxy model whereas the second one translates the generated galaxy into a document-oriented NoSQL model. This relies on two types of rules: structure and hierarchical rules. Furthermore, in order to help understanding the textual results of analytical queries on the NoSQL-DocW, the authors define two semantic operators S-Drill-Up and S-Drill-Down to aggregate/expand the terms of query. The implementation of our proposals uses MangoDB and Talend. The experiment uses the medical collection Clef-2007 and two metrics called write request latency and read request latency to evaluate respectively the loading time and the response time to queries.

Suggested Citation

  • Ines Ben Messaoud & Abdulrahman A. Alshdadi & Jamel Feki, 2021. "Building a Document-Oriented Warehouse Using NoSQL," International Journal of Operations Research and Information Systems (IJORIS), IGI Global, vol. 12(2), pages 33-54, April.
    • Handle: RePEc:igg:joris0:v:12:y:2021:i:2:p:33-54
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    References listed on IDEAS

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    1. Salma Ben Meftah & Kaïs Khrouf & Jamel Feki & Chantal Soulé-Dupuy, 2016. "A semantic approach for XML document warehousing and OLAP analysis," International Journal of Information and Decision Sciences, Inderscience Enterprises Ltd, vol. 8(3), pages 254-283.
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