Usage-Driven Database Design: From Logical Data Modeling through Physical Schema Definition

Tillmann, George

ISBN 10: 1484227212 / ISBN 13: 9781484227213

Edité par Apress, 2017

A propos de cet article

The Pages Inside Are Clean With No Remarks Or Highlights. 374 Pages With The Index. Soft Cover, In Very Good Condition.books are NOT signed. We will state signed at the description section. we confirm they are signed via email or stated in the description box. - Specializing in academic, collectiblle and historically significant, providing the utmost quality and customer service satisfaction. For any questions feel free to email us. N° de réf. du vendeur X43929x

Détails bibliographiques

Titre : Usage-Driven Database Design: From Logical ...

Éditeur : Apress

Date d'édition : 2017

Reliure : Soft cover

Etat : Very Good

Edition : 1st Edition.

A propos de ce titre

Synopsis :

How do you design good databases? This book breaks new ground by presenting a way of developing databases, from start to finish, where the start is logical data modeling and the finish is a database schema that reflects not only the definition of the data uncovered in logical data modeling, but also how the database will be used by applications and end users. The usage-driven design framework in this book provides guidance on mapping from logical to physical designs while simultaneously incorporating knowledge of the target business processes. The framework is practical, pragmatic, and proven over the author's many years of experience.

À propos de l?auteur:

George Tillmann is a retired Booz, Allen Hamilton partner; a former programmer, analyst, management consultant; and CIO who managed Booz Allen's global IT organization. He brings more than 30 years experience as a database administrator, database consultant, and database product designer. He has written two books, was a Computerworld columnist, and has articles published in CIO, Infoworld, Techworld, Data Base, The Standard, Database Programming & Design and is a former member of the ANSI/X3/SPARC Data Base Systems Study Group.