Fundamentals of Data Warehouses:
Data warehouses have captured the attention of practitioners and researchers alike. But the design and optimization of data warehouses remains an art rather than a science. This book presents the first comparative review of the state of the art and best current practice of data warehouses. It covers...
Gespeichert in:
| Hauptverfasser: | , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2000
|
| Ausgabe: | 1st ed. 2000 |
| Schlagworte: | |
| Online-Zugang: | UBY01 Volltext |
| Zusammenfassung: | Data warehouses have captured the attention of practitioners and researchers alike. But the design and optimization of data warehouses remains an art rather than a science. This book presents the first comparative review of the state of the art and best current practice of data warehouses. It covers source and data integration, multidimensional aggregation, query optimization, update propagation, metadata management, quality assessment, and design optimization. Also, based on results of the European Data Warehouse Quality project, it offers a conceptual framework by which the architecture and quality of data warehouse efforts can be assessed and improved using enriched metadata management combined with advanced techniques from databases, business modeling, and artificial intelligence. For researchers and database professionals in academia and industry, the book offers an excellent introduction to the issues of quality and metadata usage in the context of data warehouses |
| Beschreibung: | 1 Online-Ressource (XII, 195 p) |
| ISBN: | 9783662041383 |
| DOI: | 10.1007/978-3-662-04138-3 |
Internformat
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| 520 | |a Data warehouses have captured the attention of practitioners and researchers alike. But the design and optimization of data warehouses remains an art rather than a science. This book presents the first comparative review of the state of the art and best current practice of data warehouses. It covers source and data integration, multidimensional aggregation, query optimization, update propagation, metadata management, quality assessment, and design optimization. Also, based on results of the European Data Warehouse Quality project, it offers a conceptual framework by which the architecture and quality of data warehouse efforts can be assessed and improved using enriched metadata management combined with advanced techniques from databases, business modeling, and artificial intelligence. For researchers and database professionals in academia and industry, the book offers an excellent introduction to the issues of quality and metadata usage in the context of data warehouses | ||
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Datensatz im Suchindex
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| author | Jarke, Matthias Lenzerini, Maurizio Vassiliou, Yannis Vassiliadis, Panos |
| author_facet | Jarke, Matthias Lenzerini, Maurizio Vassiliou, Yannis Vassiliadis, Panos |
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| bvnumber | BV047064820 |
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| dewey-full | 005.74 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
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| discipline | Informatik Wirtschaftswissenschaften |
| discipline_str_mv | Informatik Wirtschaftswissenschaften |
| doi_str_mv | 10.1007/978-3-662-04138-3 |
| edition | 1st ed. 2000 |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
| index_date | 2024-07-03T16:12:23Z |
| indexdate | 2024-07-10T09:01:35Z |
| institution | BVB |
| isbn | 9783662041383 |
| language | English |
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| physical | 1 Online-Ressource (XII, 195 p) |
| psigel | ZDB-2-SCS ZDB-2-SCS_2000/2004 ZDB-2-SCS ZDB-2-SCS_2000/2004 |
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| publisher | Springer Berlin Heidelberg |
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| spelling | Jarke, Matthias Verfasser aut Fundamentals of Data Warehouses by Matthias Jarke, Maurizio Lenzerini, Yannis Vassiliou, Panos Vassiliadis 1st ed. 2000 Berlin, Heidelberg Springer Berlin Heidelberg 2000 1 Online-Ressource (XII, 195 p) txt rdacontent c rdamedia cr rdacarrier Data warehouses have captured the attention of practitioners and researchers alike. But the design and optimization of data warehouses remains an art rather than a science. This book presents the first comparative review of the state of the art and best current practice of data warehouses. It covers source and data integration, multidimensional aggregation, query optimization, update propagation, metadata management, quality assessment, and design optimization. Also, based on results of the European Data Warehouse Quality project, it offers a conceptual framework by which the architecture and quality of data warehouse efforts can be assessed and improved using enriched metadata management combined with advanced techniques from databases, business modeling, and artificial intelligence. For researchers and database professionals in academia and industry, the book offers an excellent introduction to the issues of quality and metadata usage in the context of data warehouses Database Management Information Storage and Retrieval Information Systems Applications (incl. Internet) Artificial Intelligence Operations Research/Decision Theory Database management Information storage and retrieval Application software Artificial intelligence Operations research Decision making Data-Warehouse-Konzept (DE-588)4406462-7 gnd rswk-swf Informationsmanagement (DE-588)4114012-6 gnd rswk-swf Data-Warehouse-Konzept (DE-588)4406462-7 s Informationsmanagement (DE-588)4114012-6 s DE-604 Lenzerini, Maurizio aut Vassiliou, Yannis aut Vassiliadis, Panos aut Erscheint auch als Druck-Ausgabe 9783662041406 Erscheint auch als Druck-Ausgabe 9783662041390 Erscheint auch als Druck-Ausgabe 9783540653653 https://doi.org/10.1007/978-3-662-04138-3 Verlag URL des Eerstveröffentlichers Volltext |
| spellingShingle | Jarke, Matthias Lenzerini, Maurizio Vassiliou, Yannis Vassiliadis, Panos Fundamentals of Data Warehouses Database Management Information Storage and Retrieval Information Systems Applications (incl. Internet) Artificial Intelligence Operations Research/Decision Theory Database management Information storage and retrieval Application software Artificial intelligence Operations research Decision making Data-Warehouse-Konzept (DE-588)4406462-7 gnd Informationsmanagement (DE-588)4114012-6 gnd |
| subject_GND | (DE-588)4406462-7 (DE-588)4114012-6 |
| title | Fundamentals of Data Warehouses |
| title_auth | Fundamentals of Data Warehouses |
| title_exact_search | Fundamentals of Data Warehouses |
| title_exact_search_txtP | Fundamentals of Data Warehouses |
| title_full | Fundamentals of Data Warehouses by Matthias Jarke, Maurizio Lenzerini, Yannis Vassiliou, Panos Vassiliadis |
| title_fullStr | Fundamentals of Data Warehouses by Matthias Jarke, Maurizio Lenzerini, Yannis Vassiliou, Panos Vassiliadis |
| title_full_unstemmed | Fundamentals of Data Warehouses by Matthias Jarke, Maurizio Lenzerini, Yannis Vassiliou, Panos Vassiliadis |
| title_short | Fundamentals of Data Warehouses |
| title_sort | fundamentals of data warehouses |
| topic | Database Management Information Storage and Retrieval Information Systems Applications (incl. Internet) Artificial Intelligence Operations Research/Decision Theory Database management Information storage and retrieval Application software Artificial intelligence Operations research Decision making Data-Warehouse-Konzept (DE-588)4406462-7 gnd Informationsmanagement (DE-588)4114012-6 gnd |
| topic_facet | Database Management Information Storage and Retrieval Information Systems Applications (incl. Internet) Artificial Intelligence Operations Research/Decision Theory Database management Information storage and retrieval Application software Artificial intelligence Operations research Decision making Data-Warehouse-Konzept Informationsmanagement |
| url | https://doi.org/10.1007/978-3-662-04138-3 |
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