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A data warehouse stores large volumes of historical data required for analytical purposes. This data is extracted from operational databases; transformed into a coherent whole using a multidimensional model that includes measures, dimensions, and hierarchies; and loaded into a data warehouse during the extraction-transformation-loading (ETL) process. Malinowski and Zimányi explain in detail conventional data warehouse design, covering in particular complex hierarchy modeling. Additionally, they address two innovative domains recently introduced to extend the capabilities of data warehouse systems, namely the management of spatial and temporal information. 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 2005 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.

milieutechnologie --- Computer. Automation --- geologie --- ICT (informatie- en communicatietechnieken) --- informatica --- database management --- Information systems --- warehouses --- informatiesystemen --- Geodesy. Cartography --- geodesie --- magazijnen --- informatica management --- Geology. Earth sciences --- Environmental protection. Environmental technology --- bedrijfseconomie --- Data warehousing --- Entrepôts de données (Informatique) --- EPUB-LIV-FT SPRINGER-B LIVINFOR --- Multidimensional databases --- Spatial data infrastructures --- Temporal databases --- Design --- Data warehousing. --- Temporal data bases --- Databases --- SDIs (Geographic information systems) --- Geographic information systems --- MDD (Computer science) --- Multi-dimensional databases --- OLAP technology --- Information warehousing --- Warehousing, Data --- Database management --- Management information systems --- Design. --- Multidimensional databases - Design --- Spatial data infrastructures - Design --- Temporal databases - Design

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In today’s world, services and data are integrated in ever new constellations, requiring the easy, flexible and scalable integration of autonomous, heterogeneous components into complex systems at any time. Event-based architectures inherently decouple system components. Event-based components are not designed to work with specific other components in a traditional request/reply mode, but separate communication from computation through asynchronous communication mechanisms via a dedicated notification service. Mühl, Fiege, and Pietzuch provide the reader with an in-depth description of event-based systems. They cover the complete spectrum of topics, ranging from a treatment of local event matching and distributed event forwarding algorithms, through a more practical discussion of software engineering issues raised by the event-based style, to a presentation of state-of-the-art research topics in event-based systems, such as composite event detection and security. Their presentation gives researchers a comprehensive overview of the area and lots of hints for future research. In addition, they show the power of event-based architectures in modern system design, thus encouraging professionals to exploit this technique in next generation large-scale distributed applications like information dissemination, network monitoring, enterprise application integration, or mobile systems.

Mass communications --- Computer architecture. Operating systems --- Computer. Automation --- software engineering --- informatica management --- OS (operating system) --- computernetwerken --- communicatietechnologie --- Distributed databases. --- Electronic data processing --- Distributed processing. --- Information Technology --- Computer Science (Hardware & Networks) --- Computer Communication Networks. --- Software engineering. --- Operating systems (Computers). --- Algorithms. --- Telecommunication. --- Software Engineering. --- Operating Systems. --- Communications Engineering, Networks. --- Computer communication systems. --- Electrical engineering. --- Computer software engineering --- Engineering --- Algorism --- Algebra --- Arithmetic --- Computer operating systems --- Computers --- Disk operating systems --- Systems software --- Electric engineering --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Network computers --- Foundations --- Operating systems --- Distributed processing --- Distributed databases --- 681.3*C24 --- 681.3*C24 Distributed systems: distributed databases; distributed applications; networkoperating systems --- Distributed systems: distributed databases; distributed applications; networkoperating systems --- Distributed computer systems in electronic data processing --- Distributed computing --- Distributed processing in electronic data processing --- Computer networks --- Distributed data bases --- Distributed database systems --- Databases