| 000 | 00776namuu22002538a 4500 | |
| 001 | 000000818418 | |
| 005 | 20030616173417 | |
| 008 | 020515s2002 gw a b 001 0 eng | |
| 010 | ▼a 2070677 | |
| 020 | ▼a 3540420894 (alk. paper) | |
| 040 | ▼a DLC ▼c DLC ▼d 211009 | |
| 042 | ▼a pcc | |
| 049 | 1 | ▼l 121079705 ▼f 과학 |
| 050 | 0 0 | ▼a QA76.9.D37 ▼b F86 2002 |
| 082 | 0 0 | ▼a 658.4/038/0285574 ▼2 21 |
| 090 | ▼a 658.4038 ▼b F981 | |
| 245 | 0 0 | ▼a Fundamentals of data warehouses / ▼c Matthias Jarke ... [et al.]. |
| 260 | ▼a Berlin ; ▼a New York : ▼b Springer, ▼c 2002. | |
| 263 | ▼a 0207 | |
| 300 | ▼a xv, 219 p. : ▼b ill. ; ▼c 24 cm. | |
| 504 | ▼a Includes bibliographical references and index. | |
| 650 | 0 | ▼a Data warehousing. |
| 700 | 1 | ▼a Jarke, Matthias. |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 과학도서관/Sci-Info(2층서고)/ | 청구기호 658.4038 F981 | 등록번호 121079705 (2회 대출) | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
This book presents the first comparative review of the state of the art and the best current practices of data warehouses. It covers source and data integration, multidimensional aggregation, query optimization, metadata management, quality assessment, and design optimization. A conceptual framework is presented by which the architecture and quality of a data warehouse can be assessed and improved using enriched metadata management combined with advanced techniques from databases, business modeling, and artificial intelligence.
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.
New feature
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.
정보제공 :
목차
1 Data Warehouse Practice: An Overview.- 2 Data Warehouse Research: Issues and Projects.- 3 Source Integration.- 4 Data Warehouse Refreshment.- 5 Multidimensional Data Models and Aggregation.- 6 Query Processing and Optimization.- 7 Metadata and Data Warehouse Quality.- 8 Quality-Driven Data Warehouse Design.- Appendix A. ISO Standards Information Quality.- Appendix B. Glossary.
정보제공 :