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TIDAQL: A Query Language Enabling On-line Analytical Processing of Time Interval Data

In: Engineering Education 4.0

Author

Listed:
  • Philipp Meisen

    (RWTH Aachen University, IMA/ZLW & IfU)

  • Diane Keng

    (RWTH Aachen University, IMA/ZLW & IfU)

  • Tobias Meisen

    (RWTH Aachen University, IMA/ZLW & IfU)

  • Marco Recchioni

    (RWTH Aachen University, IMA/ZLW & IfU)

  • Sabina Jeschke

    (RWTH Aachen University, IMA/ZLW & IfU)

Abstract

Nowadays, time interval data is ubiquitous. The requirement of analyzing such data using known techniques like on-line analytical processing arises more and more frequently. Nevertheless, the usage of approved multidimensional models and established systems is not sufficient, because of modeling, querying and processing limitations. Even though recent research and requests from various types of industry indicate that the handling and analyzing of time interval data is an important task, a definition of a query language to enable on-line analytical processing and a suitable implementation are, to the best of our knowledge, neither introduced nor realized. In this paper, we present a query language based on requirements stated by business analysts from different domains that enables the analysis of time interval data in an on-line analytical manner. In addition, we introduce our query processing, established using a bitmap-based implementation. Finally, we present a performance analysis and discuss the language, the processing as well as the results critically.

Suggested Citation

  • Philipp Meisen & Diane Keng & Tobias Meisen & Marco Recchioni & Sabina Jeschke, 2016. "TIDAQL: A Query Language Enabling On-line Analytical Processing of Time Interval Data," Springer Books, in: Sulamith Frerich & Tobias Meisen & Anja Richert & Marcus Petermann & Sabina Jeschke & Uwe Wilkesmann (ed.), Engineering Education 4.0, pages 411-436, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-46916-4_32
    DOI: 10.1007/978-3-319-46916-4_32
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