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Auflistung nach Autor:in "Lienau, Gerhild"

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  • Konferenzbeitrag
    Data Warehouse for Water Management – Geographic Data and ETL Processes
    (The Information Society and Enlargement of the European Union, 2003) Lukács, Gergely; Otterstätter, Arnd; Hofmann, Claus; Briesen, Marcus; Vogt, Gunter; Lienau, Gerhild; Neumann, Hans; Schuchardt, Volker; Weber, Dirk
    A data warehouse for water management has been set up in the German state of Lower Saxony, in order to support the implementation of the European Water Framework Directive and other state-wide, comprehensive water management tasks. The data warehouse covers a very wide range of relevant data sets, including geographic data. In this paper, the general architecture of the data warehouse is summarized. The handling of geographic data in the data warehouse, using the geographical functionality of the database management system Oracle 9i and the platform disy Cadenza, is described in detail. The extraction, transformation and loading (ETL) processes responsible for filling the data warehouse with data are also discussed. The major design criterion for all issues was the easy extensibility and adaptability of the system to changes in the requirements.
  • Konferenzbeitrag
    Water Management Information System of the State of Lower Saxony
    (Environmental Communication in the Information Society - Proceedings of the 16th Conference, 2002) Lukacs, Gergely; Otterstätter, Arnd; Claus, Hofmann; Lienau, Gerhild; Neumann, Hans; Schuchardt, Volker; Weber, Dirk
    Lower Saxony is setting up a state-wide information system for water management (FIS-W) ― especially with regard to the European Community’s Water Framework Directive. As part of the FIS-W, a data warehouse is under development, into which data from specialized, water-related information systems will be transferred continuously. The data warehouse shall cover all information relevant to comprehensive water management. It is accessible to different authorities via the state’s Intranet. This contribution describes organizational issues and technical concepts of the data warehouse.