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Popular Features. New Releases. Description This exceptional work provides readers with an introduction to the state-of-the-art research on data warehouse design, with many references to more detailed sources. It offers a clear and a concise presentation of the major concepts and results in the subject area. Malinowski and Zimanyi explain conventional data warehouse design in detail, and additionally address two innovative domains recently introduced to extend the capabilities of data warehouse systems: namely, the management of spatial and temporal information.
Product details Format Hardback pages Dimensions x x Other books in this series. Data Matching Peter Christen.
Weibel and D. Designing Spatial and Temporal Data Warehouses. The goal of the present chapter is to introduce fundamental concepts underlying spatial data warehousing. Malinowski and E. Please send easy that timeline and scenarios assign reached on your warming and that you are strictly supporting them from interface. The book states that data marts can be created directly from source systems.
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A data warehouse stores large volumes of historical data required for analytical purposes. This data From Conventional to Spatial and Temporal Applications. Request PDF on ResearchGate | Advanced Data Warehouse Design: From Conventional to Spatial and Temporal Applications | The book.
Their presentation covers different phases of the design process, such as requirements specification, conceptual, logical, and physical design. They include three different approaches for requirements specification depending on whether users, operational data sources, or both are the driving force in the requirements gathering process, and they show how each approach leads to the creation of a conceptual multidimensional model.
Throughout the book the concepts are illustrated using many real-world examples and completed by sample implementations for Microsoft's Analysis Services and Oracle 10g with the OLAP and the Spatial extensions. For researchers this book serves as an introduction to the state of the art on data warehouse design, with many references to more detailed sources. Providing a clear and a concise presentation of the major concepts and results of data warehouse design, it can also be used as the basis of a graduate or advanced undergraduate course.
The book may help experienced data warehouse designers to enlarge their analysis possibilities by incorporating spatial and temporal information.
Finally, experts in spatial databases or in geographical information systems could benefit from the data warehouse vision for building innovative spatial analytical applications. Its aim is to provide beginning researchers in the area of graph data management, or in fields that require graph data management, an …. This book provides a systematic and comparative description of the vast number of research issues related to the quality of data and information.
It does so by delivering a sound, integrated and comprehensive overview of the state of the art and …. This volume focuses on the theory and practice of data stream management, and the novel challenges this emerging domain poses for data-management algorithms, systems, and applications. The collection of chapters, contributed by authorities in the …. This book contributes to illustrating the methodological and technological issues of data management in Pervasive Systems by using the DataBenc project as the running case study for a variety of research contributions: sensor data management, user-or.
This book presents a comprehensive and systematic introduction to transforming process-oriented data into information about the underlying business process, which is essential for all kinds of decision-making.
To that end, the authors develop step. Transactions are a concept related to the logical database as seen from the perspective of database application programmers: a transaction is a sequence of database actions that is to be executed as an atomic unit of work.
The processing of transa. To this end, their work is structured into th.
Mashups have emerged as an innovative software trend that re-interprets existing Web building blocks and leverages the composition of individual components in novel, value-adding ways. Additional appeal also derives from their potential to turn no. With the proliferation of huge amounts of heterogeneous data on the Web, the importance of information retrieval IR has grown considerably over the last few years.