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
2003
|
| Ausgabe: | 2nd ed. 2003 |
| 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. Furthermore, it presents 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. In the second edition, the significant advances of the state of the practice in the last three years are discussed and the conceptual framework is extended to a full methodology for data warehouse design, illustrated by several industrial case studies |
| Beschreibung: | 1 Online-Ressource (XV, 224 p) |
| ISBN: | 9783662051535 |
| DOI: | 10.1007/978-3-662-05153-5 |
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. Furthermore, it presents 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. In the second edition, the significant advances of the state of the practice in the last three years are discussed and the conceptual framework is extended to a full methodology for data warehouse design, illustrated by several industrial case studies | ||
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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 | BV047064846 |
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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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| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik Wirtschaftswissenschaften |
| discipline_str_mv | Informatik Wirtschaftswissenschaften |
| doi_str_mv | 10.1007/978-3-662-05153-5 |
| edition | 2nd ed. 2003 |
| 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 | 9783662051535 |
| language | English |
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| publisher | Springer Berlin Heidelberg |
| record_format | marc |
| spelling | Jarke, Matthias Verfasser aut Fundamentals of Data Warehouses by Matthias Jarke, Maurizio Lenzerini, Yannis Vassiliou, Panos Vassiliadis 2nd ed. 2003 Berlin, Heidelberg Springer Berlin Heidelberg 2003 1 Online-Ressource (XV, 224 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. Furthermore, it presents 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. In the second edition, the significant advances of the state of the practice in the last three years are discussed and the conceptual framework is extended to a full methodology for data warehouse design, illustrated by several industrial case studies 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 9783642075643 Erscheint auch als Druck-Ausgabe 9783540420897 Erscheint auch als Druck-Ausgabe 9783662051542 https://doi.org/10.1007/978-3-662-05153-5 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/10.1007/978-3-662-05153-5 |
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