國立高雄大學圖資館 |

Language: English

Back

Usage-driven database designfrom log...

SpringerLink (Online service)

Usage-driven database designfrom logical data modeling through physical schema definition /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Usage-driven database designby George Tillmann.
Reminder of title:	from logical data modeling through physical schema definition /
Author:	Tillmann, George.
Published:	Berkeley, CA :Apress :2017.
Description:	xxiv, 374 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Database design.
Online resource:	http://dx.doi.org/10.1007/978-1-4842-2722-0
ISBN:	9781484227220$q(electronic bk.)

Usage-driven database designfrom logical data modeling through physical schema definition /
Tillmann, George.

Usage-driven database designfrom logical data modeling through physical schema definition /[electronic resource] :by George Tillmann. - Berkeley, CA :Apress :2017. - xxiv, 374 p. :ill., digital ;24 cm.

Part I: Introduction -- 1. Introduction to Usage-Driven Database Design -- Part II: Logical Data Modeling -- 2. The E-R Approach -- 3. More About the E-R Approach -- 4. Building the Logical Data Model -- 5. LDM Best Practices -- 6. LDM Pitfalls -- 7. LDM Perils to Watch For -- Part III: Physical Schema Definition -- 8. Introduction to Physical Database Design -- 9. Introduction to Physical Schema Definition -- 10. Transformation: Creating the Physical Data Model -- 11. Utilization: Merging Data and Process -- 12. Formalization: Creating a Schema -- 13. Customization: Enhancing Performance -- 14. The Data Warehouse -- 15. The Big Data Decision Support System -- Part IV: Where From Here? -- 16. A Look Ahead -- Part V: Appendixes -- 17: Appendix A: Glossary -- 18: Appendix B: Logical Data Modeling Definitions -- 19. Appendix C: Physical Schema Definition Object Definitions -- 20. Appendix D: Formulas Used in the Book -- 21. Appendix E: List of U3D Deliverables.

Design great databases--from logical data modeling through physical schema definition. You will learn a framework that finally cracks the problem of merging data and process models into a meaningful and unified design that accounts for how data is actually used in production systems. Key to the framework is a method for taking the logical data model that is a static look at the definition of the data, and merging that static look with the process models describing how the data will be used in actual practice once a given system is implemented. The approach solves the disconnect between the static definition of data in the logical data model and the dynamic flow of the data in the logical process models. The design framework in this book can be used to create operational databases for transaction processing systems, or for data warehouses in support of decision support systems. The information manager can be a flat file, Oracle Database, IMS, NoSQL, Cassandra, Hadoop, or any other DBMS. Usage-Driven Database Design emphasizes practical aspects of design, and speaks to what works, what doesn't work, and what to avoid at all costs. Included in the book are lessons learned by the author over his 30+ years in the corporate trenches. Everything in the book is grounded on good theory, yet demonstrates a professional and pragmatic approach to design that can come only from decades of experience. Presents an end-to-end framework from logical data modeling through physical schema definition. Includes lessons learned, techniques, and tricks that can turn a database disaster into a success. Applies to all types of database management systems, including NoSQL such as Cassandra and Hadoop, and mainstream SQL databases such as Oracle and SQL Server.

ISBN: 9781484227220$q(electronic bk.)

Standard No.: 10.1007/978-1-4842-2722-0doiSubjects--Topical Terms:

184445
Database design.

LC Class. No.: QA76.9.D26 / T55 2017

Dewey Class. No.: 005.74

Usage-driven database designfrom logical data modeling through physical schema definition /
LDR:03770nmm a2200325 a 4500 001 512317
003 DE-He213
005 20170407110206.0
006 m d
007 cr nn 008maaau
008 171226s2017 cau s 0 eng d
020 $a 9781484227220$q(electronic bk.)
020 $a 9781484227213$q(paper)
024 7 $a 10.1007/978-1-4842-2722-0 $2 doi
035 $a 978-1-4842-2722-0
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.D26 $b T55 2017
072 7 $a UN $2 bicssc
072 7 $a UMT $2 bicssc
072 7 $a COM021000 $2 bisacsh
082 0 4 $a 005.74 $2 23
090 $a QA76.9.D26 $b T577 2017
100 1 $a Tillmann, George. $3 780170
245 1 0 $a Usage-driven database design $h [electronic resource] : $b from logical data modeling through physical schema definition / $c by George Tillmann.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2017.
300 $a xxiv, 374 p. : $b ill., digital ; $c 24 cm.
505 0 $a Part I: Introduction -- 1. Introduction to Usage-Driven Database Design -- Part II: Logical Data Modeling -- 2. The E-R Approach -- 3. More About the E-R Approach -- 4. Building the Logical Data Model -- 5. LDM Best Practices -- 6. LDM Pitfalls -- 7. LDM Perils to Watch For -- Part III: Physical Schema Definition -- 8. Introduction to Physical Database Design -- 9. Introduction to Physical Schema Definition -- 10. Transformation: Creating the Physical Data Model -- 11. Utilization: Merging Data and Process -- 12. Formalization: Creating a Schema -- 13. Customization: Enhancing Performance -- 14. The Data Warehouse -- 15. The Big Data Decision Support System -- Part IV: Where From Here? -- 16. A Look Ahead -- Part V: Appendixes -- 17: Appendix A: Glossary -- 18: Appendix B: Logical Data Modeling Definitions -- 19. Appendix C: Physical Schema Definition Object Definitions -- 20. Appendix D: Formulas Used in the Book -- 21. Appendix E: List of U3D Deliverables.
520 $a Design great databases--from logical data modeling through physical schema definition. You will learn a framework that finally cracks the problem of merging data and process models into a meaningful and unified design that accounts for how data is actually used in production systems. Key to the framework is a method for taking the logical data model that is a static look at the definition of the data, and merging that static look with the process models describing how the data will be used in actual practice once a given system is implemented. The approach solves the disconnect between the static definition of data in the logical data model and the dynamic flow of the data in the logical process models. The design framework in this book can be used to create operational databases for transaction processing systems, or for data warehouses in support of decision support systems. The information manager can be a flat file, Oracle Database, IMS, NoSQL, Cassandra, Hadoop, or any other DBMS. Usage-Driven Database Design emphasizes practical aspects of design, and speaks to what works, what doesn't work, and what to avoid at all costs. Included in the book are lessons learned by the author over his 30+ years in the corporate trenches. Everything in the book is grounded on good theory, yet demonstrates a professional and pragmatic approach to design that can come only from decades of experience. Presents an end-to-end framework from logical data modeling through physical schema definition. Includes lessons learned, techniques, and tricks that can turn a database disaster into a success. Applies to all types of database management systems, including NoSQL such as Cassandra and Hadoop, and mainstream SQL databases such as Oracle and SQL Server.
650 0 $a Database design. $3 184445
650 1 4 $a Computer Science. $3 212513
650 2 4 $a Database Management. $3 273994
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-1-4842-2722-0
950 $a Professional and Applied Computing (Springer-12059)