Werner Dreyer

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Empirical research based on time series is a data intensive activity that needs a data base management system (DBMS). We investigate the special properties a time series management system (TSMS) should have. We then show that currently available solutions and related research directions are not well suited to handle the existing problems. Therefore, we(More)
The analysis of time series is a central issue in economic research and many other scientific applications. However , the data management functionality for this field is not provided by general-purpose DBMSs. Therefore, we propose a data model of a specialized Time Series Management System (TSMS) which accounts for these needs. The model is centered around(More)
The analysis of time series in financial and scientific applications requires database functionality with complex specialized modeling capabilities and at the same time an easy-to-use interface. We present the time series management system CALANDA which combines both, a powerful dedicated data model and an intuitive GUI. The focus of this paper and the(More)
The distribution of data within or between organizations is crucial for many applications. Such a distribution may be transparent, as it is embodied in distributed database systems to increase their performance, reliability and availability. Other systems either do not require transparent data distribution or even explicitly need their own copies of the(More)
This paper analyzes how financial researchers manage large numbers of time series and how they work with these data. We show that replication services are a central facility of a time series management system and we define the requirements for such replication services. An evaluation of current time series management systems shows that they do not support(More)
As more and more special–purpose database management systems (SPDBMS) are being built, the question how to implement them becomes increasingly important. The SPDBMS CALANDA, which is specialized for the management of time series, is implemented with a new, object-oriented approach which could also be favorably applied to other SPDBMSs. CALANDA consists of(More)
This paper analyzes how financial researchers manage large numbers of time series and how they work with these data. We show that replication services are a central facility of a time series management system and we define the requirements for such replication services. An evaluation of current time series management systems shows that they do not support(More)
The analysis of time series in financial and scientific applications requires database functionality with complex specialized modeling capabilities and at the same time an easy-to-use interface. We present the time series management system CALANDA which combines both, a powerful dedicated data model and an intuitive GUI. The focus of this paper and the(More)
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