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SCIT: A Schema Change Interpretation Tool for Dynamic-Schema Data Warehouses

  • Rihan HaiEmail author
  • Vasileios Theodorou
  • Maik Thiele
  • Wolfgang Lehner
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9093)

Abstract

Data Warehouses (DW) have to continuously adapt to evolving business requirements, which implies structure modification (schema changes) and data migration requirements in the system design. However, it is challenging for designers to control the performance and cost overhead of different schema change implementations. In this paper, we demonstrate SCIT, a tool for DW designers to test and implement different logical design alternatives in a two-fold manner. As a main functionality, SCIT translates common DW schema modifications into directly executable SQL scripts for relational database systems, facilitating design and testing automation. At the same time, SCIT assesses changes and recommends alternative design decisions to help designers improve logical designs and avoid common dimensional modeling pitfalls and mistakes. This paper serves as a walk-through of the system features, showcasing the interaction with the tool’s user interface in order to easily and effectively modify DW schemata and enable schema change analysis.

Keywords

Data Warehouse Design Alternative Schema Change Dimension Table Relational Database System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Curino, Carlo, et al.: Automating the database schema evolution process. The VLDB Journal The International Journal on Very Large Data Bases 22(1), 73–98 (2013)CrossRefGoogle Scholar
  2. 2.
    Kimball, R., Ross, M.: The data warehouse toolkit: The definitive guide to dimensional modeling. John Wiley & Sons (2013)Google Scholar
  3. 3.
    Rahm, E., Bernstein, P.A.: A survey of approaches to automatic schema matching. The VLDB Journal 10(4), 334–350 (2001)CrossRefzbMATHGoogle Scholar
  4. 4.
    Ballard, C., et al.: Dimensional Modeling: In a Business Intelligence Environment. IBM Redbooks (2012)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Rihan Hai
    • 1
    Email author
  • Vasileios Theodorou
    • 2
  • Maik Thiele
    • 1
  • Wolfgang Lehner
    • 1
  1. 1.Technische Universität DresdenDresdenGermany
  2. 2.Universitat Politècnica de CatalunyaBarcelonaSpain

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