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NoSQL-based approach in data warehousing and OLAP cube computation

Author

Listed:
  • Abdelhak Khalil
  • Mustapha Belaissaoui

Abstract

Over the last few years, Not only SQL (NoSQL) databases are gaining increasingly significant ground and are considered as the future of data storage. In this paper, we are interested in implementing NoSQL-OLAP systems by defining mapping rules from the multidimensional conceptual level to logical key-value model, and providing a set of online analysis operators. We consider two different approaches in order to implement a big data warehouse within key value stores. The first one uses SQL-like table structure layered on top of the key-value schema, the second one uses a simple key-value pair structure. Then we provide aggregation operators (Map-Reduce Cube and Bit-Encoded Cube) for key value models in order to perform OLAP cube computation. We implemented OLAP operator using Oracle NoSQL database and LevelDB, and we conducted experiments on a fictional data warehouse produced by an existing benchmark that considers NoSQL models. Thus, results showed clearly the performance of OLAP implementations under NoSQL key value stores in terms of efficiency and scalability.

Suggested Citation

  • Abdelhak Khalil & Mustapha Belaissaoui, 2023. "NoSQL-based approach in data warehousing and OLAP cube computation," International Journal of Information and Decision Sciences, Inderscience Enterprises Ltd, vol. 15(4), pages 408-430.
    • Handle: RePEc:ids:ijidsc:v:15:y:2023:i:4:p:408-430
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