metadata management statistical information de froeschl karl (17 résultats)

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Paperback. Etat : new. Paperback. As the integration of statistical data collected in various subject matter domains becomes more and more important in several socio-economic investigation areas, the management of so-called metadata - a formal digital processing of information about data - gains increasing relevance. Unlike current information technologies (such as database systems, and computer networks) facilitating merely the technical side of data collation, a coherent integration of empirical data still remains cumbersome, and thus rather costly, very often because of a lack of powerful semantic data models capturing the very meaning and structure of statistical data sets. Recognizing this deficiency, this work proposes a general framework for the computer-aided integration and harmonization of distributed heterogeneous statistical data sources, aiming at a comprehensive statistical meta-information system. This work proposes a general framework for the computer-aided integration and harmonization of distributed heterogeneous statistical data sources, aiming at a comprehensive statistical meta-information system. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Etat : Gut. 556 Seiten nice book ex Library Sprache: Englisch Gewicht in Gramm: 1008 24,4 x 17,0 x 3,2 cm, Taschenbuch.

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Paperback. Etat : Brand New. illustrated edition. 537 pages. 9.75x6.75x1.00 inches. In Stock.

Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - As the integration of statistical data collected in various subject matter domains becomes more and more important in several socio-economic etc. investigation areas the management of so-called metadata - a formal digital processing of information about data - gains tremendously increasing relevance. Unlike current information technologies (e.g., database systems, computer networks, .) facilitating merely the technical side of data collation, a coherent integration of empirical data still remains cumbersome, and thus rather costly, very often because of a lack of powerful semantic data models capturing the very meaning and structure of statistical data sets. Recognizing this deficiency, 'Metadata Management' proposes a general framework for the computer-aided integration and harmonization of distributed heterogeneous statistical data sources, aiming at a truly comprehensive statistical meta-information system.

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Paperback. Etat : new. Paperback. As the integration of statistical data collected in various subject matter domains becomes more and more important in several socio-economic investigation areas, the management of so-called metadata - a formal digital processing of information about data - gains increasing relevance. Unlike current information technologies (such as database systems, and computer networks) facilitating merely the technical side of data collation, a coherent integration of empirical data still remains cumbersome, and thus rather costly, very often because of a lack of powerful semantic data models capturing the very meaning and structure of statistical data sets. Recognizing this deficiency, this work proposes a general framework for the computer-aided integration and harmonization of distributed heterogeneous statistical data sources, aiming at a comprehensive statistical meta-information system. This work proposes a general framework for the computer-aided integration and harmonization of distributed heterogeneous statistical data sources, aiming at a comprehensive statistical meta-information system. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -As the integration of statistical data collected in various subject matter domains becomes more and more important in several socio-economic etc. investigation areas the management of so-called metadata - a formal digital processing of information about data - gains tremendously increasing relevance. Unlike current information technologies (e.g., database systems, computer networks, .) facilitating merely the technical side of data collation, a coherent integration of empirical data still remains cumbersome, and thus rather costly, very often because of a lack of powerful semantic data models capturing the very meaning and structure of statistical data sets. Recognizing this deficiency, 'Metadata Management' proposes a general framework for the computer-aided integration and harmonization of distributed heterogeneous statistical data sources, aiming at a truly comprehensive statistical meta-information system. 556 pp. Englisch.

Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -As the integration of statistical data collected in various subject matter domains becomes more and more important in several socio-economic etc. investigation areas the management of so-called metadata ¿ a formal digital processing of information about data ¿ gains tremendously increasing relevance. Unlike current information technologies (e.g., database systems, computer networks, .) facilitating merely the technical side of data collation, a coherent integration of empirical data still remains cumbersome, and thus rather costly, very often because of a lack of powerful semantic data models capturing the very meaning and structure of statistical data sets. Recognizing this deficiency, 'Metadata Management' proposes a general framework for the computer-aided integration and harmonization of distributed heterogeneous statistical data sources, aiming at a truly comprehensive statistical meta-information system.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 556 pp. Englisch.