| 000 | 01015camuu22002894a 4500 | |
| 001 | 000000799678 | |
| 005 | 20021223151029 | |
| 008 | 010815s2002 nyua b 001 0 eng | |
| 010 | ▼a 2001046562 | |
| 020 | ▼a 0471111759 (pbk. : alk. paper) | |
| 040 | ▼a DLC ▼c DLC ▼d DLC ▼d 211009 | |
| 042 | ▼a pcc | |
| 049 | 1 | ▼l 121068020 ▼f 과학 |
| 050 | 0 0 | ▼a QA76.9.D26 ▼b H62 2002 |
| 082 | 0 0 | ▼a 005.74 ▼2 21 |
| 090 | ▼a 005.74 ▼b H682d | |
| 100 | 1 | ▼a Hoberman, Steve, ▼d 1968-. |
| 245 | 1 0 | ▼a Data modeler's workbench : ▼b tools and techniques for analysis and design / ▼c Steven Hoberman. |
| 260 | ▼a New York ; : ▼b Wiley, ▼c 2002. | |
| 300 | ▼a xxiii, 472 p. : ▼b ill. ; ▼c 24 cm. | |
| 500 | ▼a "Wiley Computer Publishing." | |
| 504 | ▼a Includes bibliographical references (p. 465-466) and index. | |
| 650 | 0 | ▼a Database design. |
| 650 | 0 | ▼a Data structures (Computer science) |
| 650 | 0 | ▼a Information technology. |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 과학도서관/Sci-Info(2층서고)/ | 청구기호 005.74 H682d | 등록번호 121068020 (1회 대출) | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
A goldmine of valuable tools for data modelers!
Data modelers render raw data-names, addresses, and sales totals, for instance-into information such as customer profiles and seasonal buying patterns that can be used for making critical business decisions. This book brings together thirty of the most effective tools for solving common modeling problems. The author provides an example of each tool and describes what it is, why it is needed, and how it is generally used to model data for both databases and data warehouses, along with tips and warnings. Blank sample copies of all worksheets and checklists described are provided in an appendix.
Companion Web site features updates on the latest tools and techniques, plus links to related sites offering automated tools.
A goldmine of valuable tools for data modelers!
Data modelers render raw data-names, addresses, and sales totals, for instance-into information such as customer profiles and seasonal buying patterns that can be used for making critical business decisions. This book brings together thirty of the most effective tools for solving common modeling problems. The author provides an example of each tool and describes what it is, why it is needed, and how it is generally used to model data for both databases and data warehouses, along with tips and warnings. Blank sample copies of all worksheets and checklists described are provided in an appendix.
Companion Web site features updates on the latest tools and techniques, plus links to related sites offering automated tools.
"Data Modeler's Workbench" - Dieses Buch ist eine wahre Fundgrube fur Datenmodellierer. Ein kompletter Leitfaden zur Losung allgemeiner Modellierungsprobleme, der uber 30 der besten und effektivsten Tools in einem einzigen handlichen Band anschaulich und praxisnah erlautert. Mit diesen Tools konnen Sie die Geschwindigkeit, Genauigkeit, Flexibilitat und Konsistenz Ihrer Datenbank, Ihres Data Warehouse und Ihrer betrieblichen Anwendungen deutlich verbessern. Jedes Tool wird an einem konkreten Beispiel erklart. Daruber hinaus, beschreibt der Autor detailliert, was jedes Tool kann, warum es benotigt wird, und wie es im allgemeinen eingesetzt wird, um Daten fur Datenbanken und Data Warehouses entsprechend zu modellieren. Mit einer Fulle von Tipps und Ratschlagen, auch zu moglichen Fehlerquellen. Ein Anhang enthalt Musterkopien der besprochenen Worksheets und Checklisten. Auf der begleitenden Website werden die neuesten Tools und Techniken standig aktualisiert; ausserdem enthalt sie Links zu verwandten Sites, die automatisierte Tools anbieten.
Autor Steven Hoberman ist ein renommierter Experte auf diesem Gebiet. Seit uber 10 Jahren arbeitet er auf dem Gebiet der Datenmodellierung fur Telekommunikations- , Finanz- und Produktionsunternehmen; aktuell ist er bei Mars, Inc. als Lead Data Warehouse Entwickler tatig.
New feature
"This book is chock-full of useful techniques and tips for improving data models and designs. And it's an entertaining read as well-a terrific combination!"-Wayne Eckerson, Director of Education and Research, The Data Warehousing Institute
A data model is the heart and soul of any application, providing a foundation for efficient data entry and retrieval. It needs to be consistent with other models within your organization, accurately capture the current business requirements, and evolve to support changing business needs.
Data Modeler's Workbench contains more than twenty finely tuned tools aimed at improving the speed, accuracy, flexibility, and consistency of your database, data warehouse, and operational applications. Steve Hoberman explains each tool with the help of detailed examples, showing how to apply each tool and where in the operational and reporting environment each tool is most effective. You can customize the tools in this book for your particular industry, organization, or project.
The companion Web site features:
* Downloadable copies of the worksheets and checklists that modelers can use on their own projects
* Updates on the latest tools, techniques, and discussion forums
* Links to other data modeling sites
Advance Praise:
"Any data modeler should own a copy of Steve Hoberman's book on data modeling tools and techniques."
-David Marco, President, Enterprise Warehousing Solutions, Inc.
"Steve Hoberman has written a truly valuable book that is sure to advance the discipline of data modeling."
-David Wells, Founder and Principal Consultant, Infocentric
Wiley Computer Publishing
Timely. Practical. Reliable.
Visit our Web site at www.wiley.com/compbooks/
Visit the companion Web site at www.wiley.com/compbooks/hoberman
Visit Steve Hoberman's Web site at www.stevehoberman.com
정보제공 :
목차
Foreword
Introduction
Acknowledgments
PART 1: BUILDING THE FOUNDATION
Chapter 1 Using Anecdotes, Analogies, and Presentations to Illustrate Data Modeling Concepts
Chapter 2 Meta Data Bingo
Chapter 3 Ensuring High-Quality Definitions
Chapter 4 Project Planning for the Data Modeler
PART 2: ANALYZING THE REQUIREMENTS
Chapter 5 Subject Area Analysis
Chapter 6 Subject Area Modeling
Chapter 7 Logical Data Analysis
PART 3: MODELING THE REQUIREMENTS AND SOME ADVICE
Chapter 8 The Normalization Hike and Denormalization Survival Guide
Chapter 9 The Abstraction Safety Guide and Components
Chapter 10 Data Model Beauty Tips
Chapter 11 Planning a Long and Prosperous Career in Data Modeling
Suggested Reading
Index
정보제공 :
